1 Advanced Remote Sensing and Image Analysis Internship
This internship focused on applying machine learning and deep learning techniques to process and analyze multispectral remote sensing images under the supervision of Head PRSD, Indian Institute of Remote Sensing, Indian Space Research Organisation (ISRO). The goal was to classify specific image features such as crops, forest regions, disaster-affected zones, and stubble burning areas. Interns worked with fuzzy ML models using Java and advanced image transformation techniques using Python. Interns gained valuable hands-on experience in high-dimensional data processing. One intern worked on spectral feature extraction and signature-guided band selection to improve classification accuracy, directly contributing to ISRO’s research objectives. Their methods led to more efficient analysis of satellite images by identifying and using only the most relevant spectral bands. Another intern participated in regular weekly research meetings, contributing to the implementation of core project code, with the long-term goal of publishing a research paper. This internship enhanced the participants’ understanding of spectral analysis, deep learning for image processing, and practical remote sensing applications. The project produced code modules and analytical outputs that advanced ongoing research efforts and built a foundation for future academic publication.
2 Next-Generation Computational Models of the Blood-Barrier Internship
This highly prestigious research project allows selected candidates to work in a hybrid format directly with PhD scholars under the mentorship of a faculty member at the University of Portsmouth, United Kingdom. The candidates are engaging in advanced computational chemistry and AI/ML–driven biomedical research, with a focus on developing next-generation computational models of the Blood–Brain Barrier (BBB).
As part of the project, candidates are engaging in high-performance molecular dynamics simulations using GROMACS, implementing complex BBB modelling workflows, and applying machine-learning techniques to analyse large-scale simulation data and improve predictive accuracy. They also contributed to documenting methodologies, computational pipelines, and scientific results following international research and publication standards.
Through close collaboration with active researchers and doctoral scholars, candidates are engaging in a rigorous academic environment that strengthens their computational expertise, research acumen, and preparedness for future postgraduate or PhD-level work in biomedical modelling, AI-assisted drug delivery, and computational chemistry.
3 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
4 Macroeconomics Research Internship
This project involves the intern in core research tasks in macroeconomics, including conducting literature reviews, preparing article summaries, and analysing macroeconomic data using Stata. The intern also engages in mathematical modelling, interprets econometric outputs, and assists in drafting academically aligned research notes.
Through this work, the intern gains structured exposure to the full research process—from theoretical review to empirical analysis strengthening their analytical skills and readiness for advanced academic or policy-oriented research in macroeconomics.
5 Working with Evolutionary Algorithms Internship
This ongoing six-month internship, conducted in collaboration with JSPM University Pune, engages selected interns in developing and testing multiobjective optimization techniques using evolutionary algorithms. Interns are currently working on real-world problem-solving in engineering and scientific contexts, designing novel strategies and integrating machine learning for enhanced performance.
Using tools such as Python, MATLAB, and ABAQUS, interns are actively contributing to performance validation using benchmark datasets and documenting progress for potential academic publications. The internship continues to offer a strong foundation in computational research and applied algorithm development.
6 Data Analysis on Household and Individual-Level Datasets Internship
As a research intern, the student worked extensively with household- and individual-level microdata to examine key questions in development economics. They conducted advanced data cleaning, variable construction, and econometric modelling using Stata/R/Python, and developed analytical tables and visualizations aligned with academic research standards.
The intern also contributed to scholarly literature reviews, methodological documentation, and manuscript drafting for potential publication. Through this project, the intern gained substantive experience across the entire empirical research pipeline from conceptualizing research questions and analysing large datasets to interpreting econometric results and preparing academic writing strengthening their methodological rigour and readiness for future research in development economics.
7 M.Pox Outbreak and its Detection Internship
This medical biotechnology internship provided candidate with the opportunity to investigate the rising global concern of M-pox (Monkeypox) and its implications for public health. Research intern critically analyzed open-access datasets to study trends in disease transmission, global preparedness, and gaps in vaccine and drug development. Emphasis was placed on research writing, data analysis, and identifying policy-level measures to combat future outbreaks. Guided by Senior Researchers at ICMR, New Delhi and their team, the selected candidate encouraged to translate their findings into impactful research papers. This project contributed to a broader understanding of emerging infectious diseases and the role of research in shaping responsive public health strategies.
8 Learning Physics for Electronics Engineering Internship
This one-month virtual internship focused on strengthening students’ understanding of the physics principles that form the foundation of electronics engineering. Interns learned how core concepts from electromagnetism and classical physics directly shape the functioning, design, and behaviour of electronic systems. The internship aimed to bridge basic scientific theory with its engineering applications, making it valuable for students exploring careers in electronics, physics, or related fields.
Interns worked on a range of academic tasks, including reviewing fundamental physics concepts, solving analytical problems, and preparing short write-ups that connected electromagnetic theory to practical electronic phenomena. They also explored introductory research ideas in electromagnetism, helping them understand how physics drives innovations in modern electronics.
Overall, the internship helped students strengthen their mathematical reasoning, deepen their conceptual understanding of physics, and build a clearer foundation for future studies in electronics engineering.
9 Multi-Domain Psychology Research Assistantship
This ongoing six-month research assistantship provides interns with hands-on exposure to four major branches of psychology—Industrial-Organizational, Cognitive, Cyber, and Clinical Psychology. The internship bridges theory with practice, allowing interns to understand real-world psychological challenges across workplaces, digital environments, cognition, and mental health.
Interns are currently involved in a range of research and applied tasks, such as administering and analysing job satisfaction and work-culture surveys, observing cognitive assessments related to attention and memory, studying online behavior including internet addiction and social media influence, and contributing to mental-health awareness modules. In the clinical component, interns are assisting with basic counselling frameworks, ethics discussions, and mental-health assessment activities.
Overall, the internship is helping students strengthen their research methodology, data analysis, SPSS, and report-writing skills while giving them multi-domain exposure to how psychological principles are applied across different real-life contexts.
10 Multi-Domain Psychology Research Assistantship
This project offers an integrated exploration of four key domains within psychology: Industrial-Organizational, Cognitive, Cyber, and Clinical Psychology, bridging theoretical concepts with practical research applications. The work spans employee motivation and workplace dynamics, attention and memory assessments, technology-driven behavioural influences, and foundational mental health evaluation.
The intern contributes to designing surveys, observing and analysing cognitive assessments, conducting literature reviews, developing cyber-psychology awareness modules, and assisting with basic counselling-related research tasks. They also gain experience working with data, interpreting findings, and understanding ethical research practices across diverse psychological settings.
In addition to these responsibilities, the intern is actively learning the entire research process, from conceptualising research questions to reviewing literature, analysing data, and drafting scholarly material. Under the professor’s guidance, the intern is also developing an independent research paper for publication, enhancing their academic readiness and research competency for future scholarly work.
11 Digital Humanities and Literature: Balancing Human Life Internship
This ongoing virtual internship explores how literature helps people navigate modern technological and social pressures. Interns are currently working at the intersection of digital humanities and literature, analysing how texts reflect themes of identity, mental health, and human well-being in a rapidly changing world.
Participants are engaged in tasks such as literature reviews, thematic analysis, digital annotation, and short research writing. They are examining how literary works address psychological and societal challenges, while also learning to use digital tools that support humanities research.
Overall, the internship is helping students strengthen their analytical thinking, writing skills, and understanding of how literature contributes to balance and well-being in the digital age.
12 Next-Generation Computational Models of the Blood-Barrier Internship
This highly prestigious research project allows selected candidates to work in a hybrid format directly with PhD scholars under the mentorship of a faculty member at the University of Portsmouth, United Kingdom. The candidates are engaging in advanced computational chemistry and AI/ML–driven biomedical research, with a focus on developing next-generation computational models of the Blood–Brain Barrier (BBB).
As part of the project, candidates are engaging in high-performance molecular dynamics simulations using GROMACS, implementing complex BBB modelling workflows, and applying machine-learning techniques to analyse large-scale simulation data and improve predictive accuracy. They also contributed to documenting methodologies, computational pipelines, and scientific results following international research and publication standards.
Through close collaboration with active researchers and doctoral scholars, candidates are engaging in a rigorous academic environment that strengthens their computational expertise, research acumen, and preparedness for future postgraduate or PhD-level work in biomedical modelling, AI-assisted drug delivery, and computational chemistry.
13 Decoding the Songs of Ethiopia – Part 1 Internship
This internship focused on exploring Ethiopia’s rich tradition of folk songs passed down through generations. Interns studied the cultural meaning behind songs sung during agricultural events and ceremonies. Research intern translated several of these songs, which helped them better understand Ethiopian society. The project aimed to preserve and highlight the importance of Ethiopia’s folk music while helping students build skills in reading, writing, and cultural interpretation.
14 Vaccine Development of Malaria Internship
Under the mentorship of a senior consultant from ICMR, New Delhi, the internship titled "Combating Malaria: Investigating a Centuries-Old Burden of Mankind (Drug, Vaccine, and Insecticides)" engaged research intern in high-impact research within the field of medical biotechnology. The research intern critically examined open-access data to identify existing gaps in malaria vaccine development and evaluate the effectiveness of current drug and insecticide-based interventions. With a strong focus on analytical research and scientific writing, the project aimed to generate actionable insights to support public health innovation. Interns are on a fast track to co-author a peer-reviewed publication as first authors making this internship not only academically enriching but also professionally rewarding.
15 Public Policy Internship
During the Public Policy Internship under the mentorship of PhD scholar at the Delhi School of Economics, the interns undertook extensive research on Public-Private Partnerships (PPPs) within India’s thermal power sector. Their work involved literature reviews, state-wise policy mapping, and drafting analytical notes on contractual models such as BOT and DBFOT. They also conducted plant-level analysis using indicators like Specific Oil Consumption and AT&C Losses to assess governance performance. The experience provided a dual lens of theoretical grounding in contract theory and institutional economics, as well as practical training in STATA, research design, and empirical analysis—further reinforced through participation in DSE Winter School workshops. The mentorship received helped refine academic thinking and encouraged interdisciplinary exploration, shaping the intern’s research skills with both depth and critical clarity.
16 Community Health Research and Wellbeing Internship
This project provides the intern with hands-on experience in applied community health research, focusing on improving health outcomes at the population level. Under expert supervision, the intern contributes to the design, implementation, and analysis of community-based studies involving surveys, focus groups, qualitative assessments, and quantitative data evaluation.
Key areas of engagement include examining social determinants of health, conducting community health needs assessments, analysing issues related to health equity and policy, and exploring community mental health and wellbeing. The intern also supports the preparation of research reports, presentations, and educational materials aimed at effectively communicating findings to stakeholders and the wider public.
Through this project, the intern gains structured exposure to research methodology, qualitative and quantitative analysis, and public health communication, strengthening their capacity to engage with interdisciplinary scholarship in community health.
17 Advanced Remote Sensing and Image Analysis Internship
This internship focused on applying machine learning and deep learning techniques to process and analyze multispectral remote sensing images under the supervision of Head PRSD, Indian Institute of Remote Sensing, Indian Space Research Organisation (ISRO). The goal was to classify specific image features such as crops, forest regions, disaster-affected zones, and stubble burning areas. Interns worked with fuzzy ML models using Java and advanced image transformation techniques using Python. Interns gained valuable hands-on experience in high-dimensional data processing. One intern worked on spectral feature extraction and signature-guided band selection to improve classification accuracy, directly contributing to ISRO’s research objectives. Their methods led to more efficient analysis of satellite images by identifying and using only the most relevant spectral bands. Another intern participated in regular weekly research meetings, contributing to the implementation of core project code, with the long-term goal of publishing a research paper. This internship enhanced the participants’ understanding of spectral analysis, deep learning for image processing, and practical remote sensing applications. The project produced code modules and analytical outputs that advanced ongoing research efforts and built a foundation for future academic publication.
18 Juvenile Delinquency Psychology Internship
During my research internship, I actively contributed to project on Social Media and Juvenile Delinquency, offering insights and applying relevant theoretical frameworks to support the study’s objectives. I was involved in literature reviews, data interpretation, and drafting research summaries, which strengthened my analytical and problem-solving skills. This experience enhanced my ability to approach social issues with academic rigor and deepened my understanding of how digital platforms influence youth behavior. It also taught me the value of discipline, teamwork, and sustained inquiry in research settings.
19 Advanced Remote Sensing and Image Analysis Internship
This internship focused on applying machine learning and deep learning techniques to process and analyze multispectral remote sensing images under the supervision of Head PRSD, Indian Institute of Remote Sensing, Indian Space Research Organisation (ISRO). The goal was to classify specific image features such as crops, forest regions, disaster-affected zones, and stubble burning areas. Interns worked with fuzzy ML models using Java and advanced image transformation techniques using Python. Interns gained valuable hands-on experience in high-dimensional data processing. One intern worked on spectral feature extraction and signature-guided band selection to improve classification accuracy, directly contributing to ISRO’s research objectives. Their methods led to more efficient analysis of satellite images by identifying and using only the most relevant spectral bands. Another intern participated in regular weekly research meetings, contributing to the implementation of core project code, with the long-term goal of publishing a research paper. This internship enhanced the participants’ understanding of spectral analysis, deep learning for image processing, and practical remote sensing applications. The project produced code modules and analytical outputs that advanced ongoing research efforts and built a foundation for future academic publication.
20 AI and Healthcare Internship
This project focused on exploring the legal and regulatory landscape surrounding the use of artificial intelligence in the healthcare sector. Interns were tasked with researching national and international health laws, analyzing policy documents, and understanding how AI technologies are being governed in clinical and public health settings. The aim was to identify key challenges and suggest improvements in regulatory frameworks.
The internship resulted in the development of detailed research notes and policy briefs outlining current regulations and gaps in AI governance in healthcare. Interns enhanced their skills in legal research, policy analysis, and writing. The work contributed to a growing knowledge base on health law and AI ethics and will support future academic or policy-level discussions in this emerging field.
21 Advanced Remote Sensing and Image Analysis Internship
This internship focused on applying machine learning and deep learning techniques to process and analyze multispectral remote sensing images under the supervision of Head PRSD, Indian Institute of Remote Sensing, Indian Space Research Organisation (ISRO). The goal was to classify specific image features such as crops, forest regions, disaster-affected zones, and stubble burning areas. Interns worked with fuzzy ML models using Java and advanced image transformation techniques using Python. Interns gained valuable hands-on experience in high-dimensional data processing. One intern worked on spectral feature extraction and signature-guided band selection to improve classification accuracy, directly contributing to ISRO’s research objectives. Their methods led to more efficient analysis of satellite images by identifying and using only the most relevant spectral bands. Another intern participated in regular weekly research meetings, contributing to the implementation of core project code, with the long-term goal of publishing a research paper. This internship enhanced the participants’ understanding of spectral analysis, deep learning for image processing, and practical remote sensing applications. The project produced code modules and analytical outputs that advanced ongoing research efforts and built a foundation for future academic publication.
22 Neuropsychology Research Internship
This internship was centered around exploring neuropsychological patterns among teenagers, with a focus on applying data analysis and AI tools to better understand behavioral and cognitive trends. Interns contributed to ongoing research in the intersection of neuropsychology, artificial intelligence, and machine learning.
One intern worked specifically on analyzing raw data related to teenage neuropsychological behavior. Their role involved cleaning, organizing, and interpreting the data to support meaningful research insights. Regular one-on-one mentoring sessions helped refine the analysis strategy and ensured focused progress. Continuous daily review and feedback helped maintain quality and direction. The internship allowed the intern to gain hands-on experience in research methodology, improve data interpretation skills, and engage with applied psychology using technical tools. The outcomes included a structured dataset ready for extended research and strengthened intern capabilities in collaborative and independent research work.
23 Marketing and Branding Research Internship
The project aimed to strengthen digital brand presence through a hands-on approach in SEO, Google Ads/Facebook Ads, and field marketing strategies. nterns gained practical experience in digital campaign setup, performance tracking, and brand communication. They contributed to managing ad accounts, optimizing SEO performance, and supporting local field promotions. This helped enhance both online visibility and offline outreach of the brand under the supervision of Dr. Bhavna Ambudkar. By the end of the internship, participants improved their skills in digital advertising tools, learned the fundamentals of field marketing execution, and developed a practical understanding of brand positioning in a dynamic market environment.
24 International Economics and Global Trade Research Internship
During the International Economics–Global Trade Research Internship, the intern engaged in an empirical and conceptual investigation of Global Value Chains (GVCs) and international trade flows. The research involved conducting a systematic literature review, analyzing macroeconomic and trade datasets, and evaluating the policy implications of cross-border movements of goods, services, and capital. Particular focus was given to understanding the structural transformations in global production networks and their integration with national economies. The intern’s contributions supported the development of analytical frameworks to assess trade efficiency and governance within GVCs, thereby strengthening their competencies in data-driven economic research and policy-oriented inquiry.
25 Social Media Marketing and Its Impact on Brand Loyalty Internship
This project examines how social media marketing (SMM) shapes brand loyalty in the contemporary digital environment. The intern explores the strategic use of platforms such as Facebook, Instagram, LinkedIn, and Twitter for content creation, targeted advertising, and consumer engagement. The research focuses on understanding how two-way communication, user-generated content, influencer collaborations, and personalised campaigns contribute to emotional brand attachment and loyalty-building outcomes.
The intern engages in activities including data collection, case study analysis, campaign evaluation, and synthesising insights on consumer–brand interaction dynamics. Through this project, the intern gains structured exposure to digital marketing strategy, consumer behaviour research, and analytical evaluation of social media engagement, strengthening their ability to work in branding and marketing analytics.
26 AI and Healthcare Internship
This project focused on exploring the legal and regulatory landscape surrounding the use of artificial intelligence in the healthcare sector. Interns were tasked with researching national and international health laws, analyzing policy documents, and understanding how AI technologies are being governed in clinical and public health settings. The aim was to identify key challenges and suggest improvements in regulatory frameworks.
The internship resulted in the development of detailed research notes and policy briefs outlining current regulations and gaps in AI governance in healthcare. Interns enhanced their skills in legal research, policy analysis, and writing. The work contributed to a growing knowledge base on health law and AI ethics and will support future academic or policy-level discussions in this emerging field.
27 Human Resource – Health, Hygiene, and Wellbeing at Workplace Internship
This project provides structured, practice-oriented exposure to workplace health, hygiene, and employee wellbeing within the field of human resource management. The intern assists in designing and implementing wellness initiatives such as mental health programs, stress-management workshops, hygiene policies, and fitness or engagement activities—to foster a healthy and productive work environment.
Key responsibilities include supporting policy formulation related to workplace hygiene, sanitation, and occupational health standards; conducting surveys and research on employee wellbeing; analysing feedback to suggest improvements; and coordinating with external wellness professionals for training and awareness sessions. The intern also contributes to HR reports, documentation, ergonomic assessments, vaccination drives, and compliance monitoring.
Through this project, the intern gains structured experience in HR policy development, wellbeing program design, workplace health research, and applied HR practices, strengthening their readiness for professional roles in employee wellness and organizational development.
28 Education and Development Internship
As part of the ongoing Education and Development Internship in collaboration with IIT Patna, selected interns are being involved in a field-based research project focusing on the Sociology of Education and Development in eastern India. They are participating in literature reviews, developing research instruments, and conducting field visits to gather data on educational access, quality, and equity in underserved communities. Through this experience, they are enhancing their academic writing skills, gaining exposure to field research methodologies, and critically reflecting on educational policies and their implementation on the ground. The project is helping shape their ability to think sociologically about development while preparing them for advanced research and policy work in the education sector.
29 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contributed knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
30 Diversity Studies, Morpho-Taxonomic and In Silico Phylogenetic Studies on Butterflies Internship
The Diversity Studies and Phylogenetic Analysis of Butterflies Internship has offered a rare opportunity for students to engage in foundational biodiversity research with a taxonomic and molecular perspective. Interns undertook solo research projects focusing on the identification, classification, and evolutionary mapping of butterfly families in India. The project involved constructing phylogenetic trees through both morphological markers—such as wing venation—and genetic sequencing of the COI gene. Interns utilized advanced tools such as MEGA 12, BOLD systems, and Mendeley, while mastering DNA barcoding techniques and ecological diversity indexing. With an emphasis on Rhopalocera families, the research aimed to uncover interspecies variations and evolutionary patterns among Indian butterfly populations. Students developed project frameworks independently, conducted literature reviews, and applied phylogenetic analysis methodologies to assess biodiversity. This internship significantly contributed to capacity building in taxonomic research and molecular systematics, enhancing interns’ ability to bridge field data with in silico tools for conservation and academic advancement.
31 Neuropsychology Research Internship
This internship was centered around exploring neuropsychological patterns among teenagers, with a focus on applying data analysis and AI tools to better understand behavioral and cognitive trends. Interns contributed to ongoing research in the intersection of neuropsychology, artificial intelligence, and machine learning.
One intern worked specifically on analyzing raw data related to teenage neuropsychological behavior. Their role involved cleaning, organizing, and interpreting the data to support meaningful research insights. Regular one-on-one mentoring sessions helped refine the analysis strategy and ensured focused progress. Continuous daily review and feedback helped maintain quality and direction. The internship allowed the intern to gain hands-on experience in research methodology, improve data interpretation skills, and engage with applied psychology using technical tools. The outcomes included a structured dataset ready for extended research and strengthened intern capabilities in collaborative and independent research work.
32 Gender Growth and Engendering Alternative Society Research Internship
In a bold step toward reimagining identity, power, and inclusion, the Gender Growth and Engendering Alternative Society Internship invited students to explore the shifting landscape of gender through a deeply interdisciplinary lens. Interns examined the complexities of queer standardization, the multiplicity of roles assigned to singular gender identities, and the lived realities of non-binary and non-space experiences. The research critically engaged with political labeling, social marginalization, and the exclusion of LGBTQIA+ voices within mainstream institutions. Through this intellectually charged inquiry, students not only expanded their understanding of gender as a fluid and political construct but also questioned the very frameworks that define societal “norms.” This internship fostered the development of socially conscious researchers equipped to challenge outdated systems and contribute to a more inclusive and equitable future.
33 Deep Learning Models for Non-Linear Systems Investigation Internship
This cross-disciplinary research project offers an advanced exploration of how deep learning models can be applied to investigate complex non-linear dynamical systems. The intern will work on designing and implementing computational models using Python and MATLAB, integrating concepts from applied mathematics such as partial differential equations and matrix operations. A major focus of the project is developing and experimenting with neural network architectures—including physics-informed models—to approximate non-linear behaviours with high accuracy. The intern will also engage in simulation work, graphical representation of system responses, and comparative evaluation of model performance. Through structured experimentation, they will analyse stability, efficiency, and generalisation patterns across models. This project provides academically intensive training at the intersection of AI, scientific computing, and mathematical modelling. By the end of the internship, the intern will have gained strong research competencies suitable for advanced study or interdisciplinary AI research.
34 Manuscript Preparation of a Book on the herbal diversity of Chengalpattu District
During the internship focused on the manuscript preparation of a comprehensive botanical reference book, the intern contributed to a detailed documentation of herbal diversity specific to the Chengalpattu District. The work involved curating plant data, verifying botanical classifications, and integrating ethnobotanical information through literature synthesis. The intern applied core research methodology skills in field taxonomy, scientific writing, and herbarium-style documentation. The project aimed at producing an academically rigorous, publicly accessible manuscript, highlighting the region’s biodiversity and traditional medicinal knowledge. The internship also provided training in structuring academic content for book publication, refining the intern’s skills in both botanical research and scholarly communication.
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35 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
36 Antimicrobial Resistance Research Internship
Under the mentorship of Senior Scientist, ICMR, the Development of a Standalone System for AMR Data Management internship provided students with the opportunity to work at the intersection of data science and global public health. As part of the ICMR-supported AMR Delphi Study, interns contributed to analyzing expert consensus on antimicrobial resistance (AMR) strategies using the Delphi methodology. The project involved building a software system integrating Python-based data management modules, predictive modelling techniques, and visualization tools to monitor AMR patterns across large microbiology datasets. Interns engaged in qualitative analysis of expert responses, metadata processing, and evaluation of resistance trends, gaining valuable exposure to both AI-driven diagnostics and public health policymaking. The internship emphasized interdisciplinary collaboration—bridging computer science, microbiology, and health systems research—and contributed to real-world insights that can inform AMR surveillance, global health strategies, and digital policy frameworks.
37 Public Policy Internship
During the Public Policy Internship under the mentorship of PhD scholar at the Delhi School of Economics, the interns undertook extensive research on Public-Private Partnerships (PPPs) within India’s thermal power sector. Their work involved literature reviews, state-wise policy mapping, and drafting analytical notes on contractual models such as BOT and DBFOT. They also conducted plant-level analysis using indicators like Specific Oil Consumption and AT&C Losses to assess governance performance. The experience provided a dual lens of theoretical grounding in contract theory and institutional economics, as well as practical training in STATA, research design, and empirical analysis—further reinforced through participation in DSE Winter School workshops. The mentorship received helped refine academic thinking and encouraged interdisciplinary exploration, shaping the intern’s research skills with both depth and critical clarity.
38 Women, Psychology and Mental Health: In Collaboration with Oxford University, England Internship
This project centers on empirical and conceptual research in clinical psychology, with a specific focus on women’s mental health, aging populations, caregiving contexts, and gender-focused psychosocial dynamics. The work involves designing data-collection instruments, conducting field-based or remote data collection, and engaging in both qualitative and quantitative analysis. Contributors also assist in developing and refining research tools, conducting literature reviews, and preparing academic manuscripts, policy briefs, and analytical reports.
A key feature of this project is that the candidates are learning the entire research process—from identifying research gaps and designing surveys to analysing data, writing manuscripts, and preparing work for academic submission. In addition to assisting the professor with ongoing research, candidates are also developing their own thesis for publication under the professor’s close mentorship, allowing them to build independent scholarly capacity while contributing to a larger research program.
The project is structured to strengthen research competence, methodological rigour, and academic writing skills, while providing meaningful exposure to international research practices through collaborations with faculty affiliated with multiple UK-based universities.
39 Digital Humanities and Literature: Balancing Human Life Internship
During the Digital Humanities & Literature Internship, the interns are exploring the role of literary texts in addressing the psychological, societal, and technological challenges of the contemporary era. Engaging in independent and collaborative research, the intern applied case-study methods, qualitative analysis, and research methodology to examine how digital tools can be leveraged to study literature’s relevance in an age of rapid innovation. Through interdisciplinary discussions and the design of digital humanities projects, the intern deepened their understanding of literature’s power to foster human resilience and intellectual reflection in technologically saturated environments.
40 Decoding the Songs of Ethiopia – Part- 2 Internship
This internship focused on exploring Ethiopia’s rich tradition of folk songs passed down through generations. Interns studied the cultural meaning behind songs sung during agricultural events and ceremonies. Research intern translated several of these songs, which helped them better understand Ethiopian society. The project aimed to preserve and highlight the importance of Ethiopia’s folk music while helping students build skills in reading, writing, and cultural interpretation.
41 Building Inclusive Futures for Minorities Research Internship
This ongoing internship focuses on understanding the lived experiences, challenges, and systemic disadvantages faced by minority and marginalized communities. Interns are currently engaged in meaningful sociological research aimed at promoting social equity, inclusion, and justice. The internship provides hands-on exposure to real-world issues while helping interns develop a deeper understanding of how social structures impact vulnerable groups.
Interns are working on a variety of tasks, including conducting research on social issues affecting marginalized populations, contributing to community outreach initiatives, and assisting in the development of resources designed to support empowerment and inclusion. They are also exploring grassroots movements, policy perspectives, and the work of organizations dedicated to social justice.
Overall, the internship is helping students strengthen their research skills, qualitative analysis abilities, and understanding of social inequality, while preparing them for future work in advocacy, community development, and inclusive policymaking.
42 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contribute knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
43 Diversity Studies, Morpho-Taxonomic and In Silico Phylogenetic Studies on Butterflies Internship
The Diversity Studies and Phylogenetic Analysis of Butterflies Internship has offered a rare opportunity for students to engage in foundational biodiversity research with a taxonomic and molecular perspective. Interns undertook solo research projects focusing on the identification, classification, and evolutionary mapping of butterfly families in India. The project involved constructing phylogenetic trees through both morphological markers—such as wing venation—and genetic sequencing of the COI gene. Interns utilized advanced tools such as MEGA 12, BOLD systems, and Mendeley, while mastering DNA barcoding techniques and ecological diversity indexing. With an emphasis on Rhopalocera families, the research aimed to uncover interspecies variations and evolutionary patterns among Indian butterfly populations. Students developed project frameworks independently, conducted literature reviews, and applied phylogenetic analysis methodologies to assess biodiversity. This internship significantly contributed to capacity building in taxonomic research and molecular systematics, enhancing interns’ ability to bridge field data with in silico tools for conservation and academic advancement.
44 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contribute knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
45 Deep Learning Models for Non-Linear Systems Investigation Internship
This cross-disciplinary research project offers an advanced exploration of how deep learning models can be applied to investigate complex non-linear dynamical systems. The intern will work on designing and implementing computational models using Python and MATLAB, integrating concepts from applied mathematics such as partial differential equations and matrix operations. A major focus of the project is developing and experimenting with neural network architectures—including physics-informed models—to approximate non-linear behaviours with high accuracy. The intern will also engage in simulation work, graphical representation of system responses, and comparative evaluation of model performance. Through structured experimentation, they will analyse stability, efficiency, and generalisation patterns across models. This project provides academically intensive training at the intersection of AI, scientific computing, and mathematical modelling. By the end of the internship, the intern will have gained strong research competencies suitable for advanced study or interdisciplinary AI research.
46 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contribute knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
47 Agentic Artificial Intelligence Research Assistantship
This research project offers an advanced exploration of agentic artificial intelligence, focusing on the design and development of multi-agent systems capable of processing and interacting with multimodal data such as text, audio, and video. The intern will contribute to building autonomous agents that can communicate, collaborate, and make context-aware decisions in dynamic environments. The work involves developing agent architectures, integrating APIs for real-time interaction, and experimenting with frameworks that enable multi-agent coordination and task allocation. A central component of the project is analysing how agents learn from shared environments and optimise behaviours through reinforcement learning, communication protocols, or emergent strategies. The intern will document experiments, evaluate agent performance, and synthesise insights for research reporting. Through this deeply academic and technically rigorous project, the intern gains exposure to cutting-edge developments in agentic AI and multi-agent systems. By the end of the project, they will have strengthened their research foundations in artificial intelligence, computational modelling, and autonomous system design.
48 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contributed knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
49 Premenstrual Dysphoric Disorder Internship
This project aims to deepen scientific and public understanding of Premenstrual Dysphoric Disorder (PMDD) through research, data analysis, and awareness-driven communication. The work includes reviewing existing literature, identifying knowledge gaps, analysing survey or clinical data, and contributing to evidence-based reports and educational materials. The project also involves public engagement activities such as the featured PMDD Awareness Webinar (flyer attached), created to reduce stigma and improve access to care.
The candidate associated with this project has applied for multiple international paper presentations and is gaining holistic exposure to the full research process—from literature review and data interpretation to academic writing and preparing conference submissions. The project contributes both to women’s health research and to broader advocacy efforts on PMDD.
50 Data Science in Biofuels Research Internship
This research project provides an in-depth introduction to data-driven approaches in biofuel development, combining elements of computational analysis, bioenergy science, and experimental interpretation. The intern will work on analysing datasets related to biofuel production from diverse biomass sources, applying statistical and mathematical techniques to evaluate efficiency, yield patterns, and process optimisation. They will support literature synthesis on current advancements in biofuels, emerging conversion technologies, and biochemical pathways influencing fuel quality. Where applicable, the intern may also interpret laboratory-generated data involving analytical techniques such as GC-MS, FTIR, or HPLC, translating experimental findings into computational models. A central component of the project involves developing analytical workflows in Python or MATLAB to identify trends, generate visualisations, and prepare research-grade insights. The intern will also assist in drafting technical reports and documenting methodological procedures for academic dissemination. Through this structured research experience, the intern gains essential competencies at the intersection of data science and bioenergy, preparing them for future interdisciplinary research roles.
51 Protest Literature in Social Justice Movements Internship
This project examines how contemporary protest literature- poetry, essays, short fiction, and digital writings: engages with major social justice movements such as climate action, gender equality, and racial/social rights. The study involves close reading of selected literary texts alongside digital activism materials (tweets, blogs, online campaigns) to understand how literature shapes and amplifies voices of resistance in the digital age.
The project also compares traditional forms of protest writing with emerging modes of online expression, documenting shifts in narrative strategies, audience reach, and sociopolitical impact. This work contributes to ongoing scholarship in contemporary literature, cultural studies, and digital humanities.
52 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigour and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
53 Diversity Studies, Morpho-Taxonomic and In Silico Phylogenetic Studies on Butterflies Internship
The Diversity Studies and Phylogenetic Analysis of Butterflies Internship has offered a rare opportunity for students to engage in foundational biodiversity research with a taxonomic and molecular perspective. Interns undertook solo research projects focusing on the identification, classification, and evolutionary mapping of butterfly families in India. The project involved constructing phylogenetic trees through both morphological markers—such as wing venation—and genetic sequencing of the COI gene. Interns utilized advanced tools such as MEGA 12, BOLD systems, and Mendeley, while mastering DNA barcoding techniques and ecological diversity indexing. With an emphasis on Rhopalocera families, the research aimed to uncover interspecies variations and evolutionary patterns among Indian butterfly populations. Students developed project frameworks independently, conducted literature reviews, and applied phylogenetic analysis methodologies to assess biodiversity. This internship significantly contributed to capacity building in taxonomic research and molecular systematics, enhancing interns’ ability to bridge field data with in silico tools for conservation and academic advancement.
54 Building Inclusive Futures for Minorities Research Internship
This internship was designed to immerse students in community-oriented research focused on social equity, justice, and inclusion. Interns engaged with ongoing field and desk research that explored the systemic challenges faced by historically underrepresented groups. They were introduced to methods used to assess the social, economic, and political hurdles encountered by minority communities. Activities included literature review, survey design, grassroots engagement, and analysis of outreach program effectiveness.
Interns gained foundational understanding of:
1. Sampling techniques
2. Qualitative and quantitative research design
3. Socio-political context of marginalization
This internship cultivated a sense of civic responsibility and awareness among candidates and in turn research papers writing in the field of Inclusive Futures. Through their involvement, interns began to appreciate the role of inclusive research in shaping fairer public policies and social programs. By contributing to projects rooted in equity, they supported efforts aimed at improving the lives of communities affected by systemic disadvantage—an essential step toward fostering a more just society.
55 Protest Literature in Social Justice Movements Internship
This project examines how contemporary protest literature- poetry, essays, short fiction, and digital writings: engages with major social justice movements such as climate action, gender equality, and racial/social rights. The study involves close reading of selected literary texts alongside digital activism materials (tweets, blogs, online campaigns) to understand how literature shapes and amplifies voices of resistance in the digital age.
The project also compares traditional forms of protest writing with emerging modes of online expression, documenting shifts in narrative strategies, audience reach, and sociopolitical impact. This work contributes to ongoing scholarship in contemporary literature, cultural studies, and digital humanities.
56 Comparative study of ethnic practices and its sustainability Internship
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
57 Comparative study of ethnic practices and its sust
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
58 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contributed knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
59 Protest Literature in Social Justice Movements Internship
This project examines how contemporary protest literature- poetry, essays, short fiction, and digital writings: engages with major social justice movements such as climate action, gender equality, and racial/social rights. The study involves close reading of selected literary texts alongside digital activism materials (tweets, blogs, online campaigns) to understand how literature shapes and amplifies voices of resistance in the digital age.
The project also compares traditional forms of protest writing with emerging modes of online expression, documenting shifts in narrative strategies, audience reach, and sociopolitical impact. This work contributes to ongoing scholarship in contemporary literature, cultural studies, and digital humanities.
60 Indigenous Studies: Interpreting Nature in Narratives Internship
This internship explores how Indigenous knowledge systems communicate ecological values through a wide range of narrative forms, including oral traditions, rituals, ecological practices, and textual narratives. Interns will examine Indigenous worldviews, trace traditional ecological practices, and interpret the diverse ways in which nature is understood and represented across societies.
The project will involve qualitative research, critical reading, thematic analysis, and the interpretation of Indigenous narratives from a socio-ecological lens. Interns will gain hands-on exposure to research tools, academic writing, and the process of developing research arguments grounded in cultural contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this internship, they continue to learn the full research lifecycle, starting from identifying research gaps and conducting literature reviews to writing manuscripts and preparing submissions for conferences. This experience aims to strengthen their academic preparedness and research competency for future scholarly engagements.
61 Comparative study of ethnic practices and its sustainability Internship
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
62 Gender Growth and Engendering Alternative Society Internship
In a bold step toward reimagining identity, power, and inclusion, the Gender Growth and Engendering Alternative Society Internship invited students to explore the shifting landscape of gender through a deeply interdisciplinary lens. Interns examined the complexities of queer standardization, the multiplicity of roles assigned to singular gender identities, and the lived realities of non-binary and non-space experiences. The research critically engaged with political labeling, social marginalization, and the exclusion of LGBTQIA+ voices within mainstream institutions. Through this intellectually charged inquiry, students not only expanded their understanding of gender as a fluid and political construct but also questioned the very frameworks that define societal “norms.” This internship fostered the development of socially conscious researchers equipped to challenge outdated systems and contribute to a more inclusive and equitable future.
63 Comparative study of ethnic practices and its sustainability Internship
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
64 Critical Theory and Interpretation Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
65 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contributed knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
66 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
67 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
68 Child Psychology Research Internship
This six-month virtual internship focused on understanding how parenting styles and school environments influence delinquency among tribal children. Interns contributed to meaningful research aimed at promoting the well-being of tribal youth by exploring positive parenting strategies, supportive school settings, and the broader sociocultural challenges these communities face. The internship was aimed at real-world issues and contributed knowledge that can help shape public policy and community support programs.
Interns took part in various research tasks, including literature reviews, content development, and analysis of existing studies. Interns worked on diverse projects, such as cognitive archaeology, sadfishing on social media, and school-related delinquency. This involvement enhanced their understanding of psychological theories, research synthesis, and sociocultural analysis. They contributed by drafting an assignment on “Sadfishing in the Social Network” and reviewing literature on parenting and its link to delinquency in tribal children.
Overall, the internship not only helped students build strong research methodology and writing skills, but also deepened their awareness of psychological and social issues affecting children, especially in underserved and tribal communities.
69 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
70 Gender Growth and Engendering Alternative Society Research Internship
In a bold step toward reimagining identity, power, and inclusion, the Gender Growth and Engendering Alternative Society Internship invited students to explore the shifting landscape of gender through a deeply interdisciplinary lens. Interns examined the complexities of queer standardization, the multiplicity of roles assigned to singular gender identities, and the lived realities of non-binary and non-space experiences. The research critically engaged with political labeling, social marginalization, and the exclusion of LGBTQIA+ voices within mainstream institutions. Through this intellectually charged inquiry, students not only expanded their understanding of gender as a fluid and political construct but also questioned the very frameworks that define societal “norms.” This internship fostered the development of socially conscious researchers equipped to challenge outdated systems and contribute to a more inclusive and equitable future.
71 Biology Narrative Review Internship
As part of the Biology Narrative Review Internship, the intern undertook the independent development of a scientific manuscript intended for publication, focusing on synthesizing recent advances in biological systems through a narrative review format. Emphasizing clarity and scholarly depth, the intern explored scientific databases, integrated comparative anatomy insights, and employed AI tools to support literature mapping and content structuring. This internship provided direct exposure to academic authorship, with the intern contributing substantively to the framing and refinement of the manuscript, thereby gaining valuable experience in scientific communication, literature synthesis, and research ethics.
72 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
73 Community Health Research and Wellbeing Internship
This project provides the intern with hands-on experience in applied community health research, focusing on improving health outcomes at the population level. Under expert supervision, the intern contributes to the design, implementation, and analysis of community-based studies involving surveys, focus groups, qualitative assessments, and quantitative data evaluation.
Key areas of engagement include examining social determinants of health, conducting community health needs assessments, analysing issues related to health equity and policy, and exploring community mental health and wellbeing. The intern also supports the preparation of research reports, presentations, and educational materials aimed at effectively communicating findings to stakeholders and the wider public.
Through this project, the intern gains structured exposure to research methodology, qualitative and quantitative analysis, and public health communication, strengthening their capacity to engage with interdisciplinary scholarship in community health.
74 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
75 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
76 Antimicrobial Resistance Research Internship
Under the mentorship of Senior Scientist, ICMR, the Development of a Standalone System for AMR Data Management internship provided students with the opportunity to work at the intersection of data science and global public health. As part of the ICMR-supported AMR Delphi Study, interns contributed to analyzing expert consensus on antimicrobial resistance (AMR) strategies using the Delphi methodology. The project involved building a software system integrating Python-based data management modules, predictive modelling techniques, and visualization tools to monitor AMR patterns across large microbiology datasets. Interns engaged in qualitative analysis of expert responses, metadata processing, and evaluation of resistance trends, gaining valuable exposure to both AI-driven diagnostics and public health policymaking. The internship emphasized interdisciplinary collaboration—bridging computer science, microbiology, and health systems research—and contributed to real-world insights that can inform AMR surveillance, global health strategies, and digital policy frameworks.
77 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
78 Research on Butterflies Internship
The Diversity Studies and Phylogenetic Analysis of Butterflies Internship has offered a rare opportunity for students to engage in foundational biodiversity research with a taxonomic and molecular perspective. Interns undertook solo research projects focusing on the identification, classification, and evolutionary mapping of butterfly families in India. The project involved constructing phylogenetic trees through both morphological markers—such as wing venation—and genetic sequencing of the COI gene. Interns utilized advanced tools such as MEGA 12, BOLD systems, and Mendeley, while mastering DNA barcoding techniques and ecological diversity indexing. With an emphasis on Rhopalocera families, the research aimed to uncover interspecies variations and evolutionary patterns among Indian butterfly populations. Students developed project frameworks independently, conducted literature reviews, and applied phylogenetic analysis methodologies to assess biodiversity. This internship significantly contributed to capacity building in taxonomic research and molecular systematics, enhancing interns’ ability to bridge field data with in silico tools for conservation and academic advancement.
79 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
80 Building Inclusive Futures for Minorities Research Internship
This ongoing internship focuses on understanding the lived experiences, challenges, and systemic disadvantages faced by minority and marginalized communities. Interns are currently engaged in meaningful sociological research aimed at promoting social equity, inclusion, and justice. The internship provides hands-on exposure to real-world issues while helping interns develop a deeper understanding of how social structures impact vulnerable groups.
Interns are working on a variety of tasks, including conducting research on social issues affecting marginalized populations, contributing to community outreach initiatives, and assisting in the development of resources designed to support empowerment and inclusion. They are also exploring grassroots movements, policy perspectives, and the work of organizations dedicated to social justice.
Overall, the internship is helping students strengthen their research skills, qualitative analysis abilities, and understanding of social inequality, while preparing them for future work in advocacy, community development, and inclusive policymaking.
81 Building Inclusive Futures for Minorities Research Internship
This ongoing internship focuses on understanding the lived experiences, challenges, and systemic disadvantages faced by minority and marginalized communities. Interns are currently engaged in meaningful sociological research aimed at promoting social equity, inclusion, and justice. The internship provides hands-on exposure to real-world issues while helping interns develop a deeper understanding of how social structures impact vulnerable groups.
Interns are working on a variety of tasks, including conducting research on social issues affecting marginalized populations, contributing to community outreach initiatives, and assisting in the development of resources designed to support empowerment and inclusion. They are also exploring grassroots movements, policy perspectives, and the work of organizations dedicated to social justice.
Overall, the internship is helping students strengthen their research skills, qualitative analysis abilities, and understanding of social inequality, while preparing them for future work in advocacy, community development, and inclusive policymaking.
82 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
83 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
84 Molecular Modelling and Drug Designing Internship
This project focuses on using computational chemistry techniques to model molecular structures and design potential drug candidates. The work involves applying industry-standard drug-design tools to study structure–activity relationships, evaluate drug-like properties, and analyse key ADMET characteristics. Contributors also gain experience working with biological databases, bioinformatics tools, and basic biostatistical approaches used in pharmaceutical research.
The project provides a clear understanding of how computational methods accelerate modern drug discovery and offers meaningful exposure for students interested in pharmaceutical sciences, computational chemistry, or bioinformatics. It emphasizes hands-on learning, analytical thinking, and real-world application of computational drug-design pipelines.
85 HIV-Related Discrimination and Stigma Internship
This project focuses on the epidemiological assessment of HIV-related discrimination and stigma, drawing on data from population groups in Jharkhand. The research intern works directly with the principal investigator to analyse stigma indicators, interpret complex statistical outputs, and synthesise insights for academic and policy-relevant dissemination.
The intern contributes to reviewing empirical findings, conducting literature reviews to contextualize stigma and mental-health outcomes, and supporting the drafting and structuring of a research manuscript targeted for peer-review publication. Their responsibilities also include applying biostatistical methods—such as odds ratios, adjusted odds ratios, confidence intervals, and chi-square tests—to interpret patterns across key population subgroups.
During the project, the research intern gained substantial experience in epidemiological analysis, manuscript development, academic writing, and journal-oriented formatting and referencing. Under faculty mentorship, the intern also assisted in preparing the final manuscript for submission and contributed to analytical conclusions derived from the dataset.
86 Vaccine Development of Malaria Internship
The intern is currently engaged in a comprehensive literature review as part of the Vaccine Development for Malaria internship under the Medical Biotechnology stream. This phase involves critically examining existing research on the Plasmodium lifecycle, identifying key human biomarkers involved in malaria infection, and mapping the trajectory of vaccine and treatment development to date. Through this process, the intern is acquiring a nuanced understanding of research gaps in malaria therapeutics and is preparing to transition into the manuscript drafting stage, as outlined in the internship timeline.
87 Antimicrobial Resistance Research Internship
Under the mentorship of Senior Scientist, ICMR, the Development of a Standalone System for AMR Data Management internship provided students with the opportunity to work at the intersection of data science and global public health. As part of the ICMR-supported AMR Delphi Study, interns contributed to analyzing expert consensus on antimicrobial resistance (AMR) strategies using the Delphi methodology. The project involved building a software system integrating Python-based data management modules, predictive modelling techniques, and visualization tools to monitor AMR patterns across large microbiology datasets. Interns engaged in qualitative analysis of expert responses, metadata processing, and evaluation of resistance trends, gaining valuable exposure to both AI-driven diagnostics and public health policymaking. The internship emphasized interdisciplinary collaboration—bridging computer science, microbiology, and health systems research—and contributed to real-world insights that can inform AMR surveillance, global health strategies, and digital policy frameworks.
88 Vaccine Development of Malaria Internship
Under the mentorship of a senior consultant from ICMR, New Delhi, the internship titled "Combating Malaria: Investigating a Centuries-Old Burden of Mankind (Drug, Vaccine, and Insecticides)" engaged research intern in high-impact research within the field of medical biotechnology. The research intern critically examined open-access data to identify existing gaps in malaria vaccine development and evaluate the effectiveness of current drug and insecticide-based interventions. With a strong focus on analytical research and scientific writing, the project aimed to generate actionable insights to support public health innovation. Interns are on a fast track to co-author a peer-reviewed publication as first authors making this internship not only academically enriching but also professionally rewarding.
89 Diversity Studies, Morpho-Taxonomic and In Silico Phylogenetic Studies on Butterflies Internship
The Diversity Studies and Phylogenetic Analysis of Butterflies Internship has offered a rare opportunity for students to engage in foundational biodiversity research with a taxonomic and molecular perspective. Interns undertook solo research projects focusing on the identification, classification, and evolutionary mapping of butterfly families in India. The project involved constructing phylogenetic trees through both morphological markers—such as wing venation—and genetic sequencing of the COI gene. Interns utilized advanced tools such as MEGA 12, BOLD systems, and Mendeley, while mastering DNA barcoding techniques and ecological diversity indexing. With an emphasis on Rhopalocera families, the research aimed to uncover interspecies variations and evolutionary patterns among Indian butterfly populations. Students developed project frameworks independently, conducted literature reviews, and applied phylogenetic analysis methodologies to assess biodiversity. This internship significantly contributed to capacity building in taxonomic research and molecular systematics, enhancing interns’ ability to bridge field data with in silico tools for conservation and academic advancement.
90 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
91 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
92 Antimicrobial Resistance Research Internship
Under the mentorship of Senior Scientist, ICMR, the Development of a Standalone System for AMR Data Management internship provided students with the opportunity to work at the intersection of data science and global public health. As part of the ICMR-supported AMR Delphi Study, interns contributed to analyzing expert consensus on antimicrobial resistance (AMR) strategies using the Delphi methodology. The project involved building a software system integrating Python-based data management modules, predictive modelling techniques, and visualization tools to monitor AMR patterns across large microbiology datasets. Interns engaged in qualitative analysis of expert responses, metadata processing, and evaluation of resistance trends, gaining valuable exposure to both AI-driven diagnostics and public health policymaking. The internship emphasized interdisciplinary collaboration—bridging computer science, microbiology, and health systems research—and contributed to real-world insights that can inform AMR surveillance, global health strategies, and digital policy frameworks.
93 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
94 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
95 Community Health Research and Wellbeing Internship
This project provides the intern with hands-on experience in applied community health research, focusing on improving health outcomes at the population level. Under expert supervision, the intern contributes to the design, implementation, and analysis of community-based studies involving surveys, focus groups, qualitative assessments, and quantitative data evaluation.
Key areas of engagement include examining social determinants of health, conducting community health needs assessments, analysing issues related to health equity and policy, and exploring community mental health and wellbeing. The intern also supports the preparation of research reports, presentations, and educational materials aimed at effectively communicating findings to stakeholders and the wider public.
Through this project, the intern gains structured exposure to research methodology, qualitative and quantitative analysis, and public health communication, strengthening their capacity to engage with interdisciplinary scholarship in community health.
96 Deep Model Compression Internship
The internship aimed to explore efficient deep learning models through the lens of model compression. The research intern and Professor were engaged in an extensive literature review on compression techniques and implemented state-of-the-art algorithms to reduce model size while retaining performance. The core focus was on applying deep model compression methods using Python, GitHub, and Anaconda within structured experimental pipelines.he intern contributed to designing and conducting experiments that tested different compression approaches, including pruning and quantization. These efforts helped in reducing the computational footprint of large models, making them more deployable on edge devices. As part of their deliverables, interns documented their findings and worked towards drafting a research paper summarizing the methodology and results. This hands-on experience helped sharpen their skills in data structures, model optimization, and collaborative coding practices using Git. The internship played a crucial role in equipping the students with applied AI research experience and made meaningful contributions to the host professor’s ongoing research at RV University, Bengaluru.
97 Deep Model Compression Internship
As part of the internship on Design of a 5G Front-End System for LEO Satellite Communication, the intern worked on simulating and analyzing mmWave antennas using HFSS software. They developed a strong foundation in antenna design and electromagnetic theory, contributed to the creation of structured documentation, and supported the development of simulation resources for future technical reports. The experience provided valuable insight into satellite communication systems and their role in advancing global connectivity.
98 Commodity Derivatives Market Internship
This research project provides a rigorous introduction to commodity derivatives and financial market analysis, with a particular emphasis on quantitative methods and econometric modelling. The intern will analyse real-world commodity price movements, volatility patterns, and macroeconomic linkages using statistical and analytical tools. A key component of the project includes developing data-driven insights through SPSS or similar platforms, enabling the intern to work with large datasets and interpret financial trends with academic precision. The intern will also review literature on commodity markets, risk management instruments, and derivative pricing frameworks to contextualize findings within contemporary financial research. Under guided supervision, they will prepare analytical summaries, case-based assessments, and structured reports that reflect research-standard interpretations. The project strengthens competencies in corporate finance, data analysis, and evidence-based financial decision-making. By the end of the internship, the intern gains foundational research experience essential for advanced studies or careers in quantitative finance and economic research.
99 Commodity Derivatives Market Internship
During the Commodity Derivatives Market Internship, the research intern engaged in comprehensive financial research focused on commodity market trends and quantitative analysis. Their responsibilities included analyzing market data using business analytics tools, conducting case-based evaluations, and applying econometric models to interpret fluctuations in commodity prices. Utilizing platforms like SPSS and Microsoft Excel for statistical analysis, the intern explored price volatility, hedging mechanisms, and risk-return metrics. This internship significantly enhanced their understanding of corporate finance, particularly the role of derivatives in financial risk management, and strengthened their data interpretation and financial modelling capabilities for research and applied finance settings.
100 International Economics and Global Trade Research Internship
During the International Economics–Global Trade Research Internship, the intern engaged in an empirical and conceptual investigation of Global Value Chains (GVCs) and international trade flows. The research involved conducting a systematic literature review, analyzing macroeconomic and trade datasets, and evaluating the policy implications of cross-border movements of goods, services, and capital. Particular focus was given to understanding the structural transformations in global production networks and their integration with national economies. The intern’s contributions supported the development of analytical frameworks to assess trade efficiency and governance within GVCs, thereby strengthening their competencies in data-driven economic research and policy-oriented inquiry.
101 International Economics and Global Trade Research Internship
During the International Economics–Global Trade Research Internship, the intern engaged in an empirical and conceptual investigation of Global Value Chains (GVCs) and international trade flows. The research involved conducting a systematic literature review, analyzing macroeconomic and trade datasets, and evaluating the policy implications of cross-border movements of goods, services, and capital. Particular focus was given to understanding the structural transformations in global production networks and their integration with national economies. The intern’s contributions supported the development of analytical frameworks to assess trade efficiency and governance within GVCs, thereby strengthening their competencies in data-driven economic research and policy-oriented inquiry.
102 AI and Natural Language Processing Internship
As part of Konnifel’s initiative to strengthen applied research in computer science and geospatial analysis, the Programming for Remote Sensing Images Internship provided students with an opportunity to explore advanced satellite image processing techniques. Interns engaged in multispectral image analysis, focusing on signature-guided band selection and spectral feature extraction to enhance classification accuracy in high-dimensional remote sensing datasets. By implementing custom algorithms for pixel value filtering and spectral prioritization, the work contributed to more efficient data interpretation in environmental and space research. Through hands-on programming using Python and Java, the internship fostered both technical proficiency and research-oriented thinking, aligning with national-level efforts in remote sensing innovation.
103 AI and Natural Language Processing Internship
As part of Konnifel’s initiative to strengthen applied research in computer science and geospatial analysis, the Programming for Remote Sensing Images Internship provided students with an opportunity to explore advanced satellite image processing techniques. Interns engaged in multispectral image analysis, focusing on signature-guided band selection and spectral feature extraction to enhance classification accuracy in high-dimensional remote sensing datasets. By implementing custom algorithms for pixel value filtering and spectral prioritization, the work contributed to more efficient data interpretation in environmental and space research. Through hands-on programming using Python and Java, the internship fostered both technical proficiency and research-oriented thinking, aligning with national-level efforts in remote sensing innovation.
104 Developing Biofilm Assays Internship
This project focuses on developing and optimizing biofilm formation and assessment assays using microbiological and analytical techniques. The work involves understanding experimental design, performing biofilm culturing, and analysing biofilm structure and behaviour. Students with basic lab skills or bioinformatics exposure are well suited for this project.
The project provides hands-on experience in applying theoretical microbiology concepts to real-world laboratory workflows. Intern gained clarity in experimental planning, data handling, and interpretation of microbial growth patterns. As reflected in participant feedback, the project offers structured guidance, strong mentorship, and an enriching learning environment that strengthens interest in microbiology and biomedical research.
105 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
106 Building Inclusive Futures for Minorities Research Internship
This ongoing internship focuses on understanding the lived experiences, challenges, and systemic disadvantages faced by minority and marginalized communities. Interns are currently engaged in meaningful sociological research aimed at promoting social equity, inclusion, and justice. The internship provides hands-on exposure to real-world issues while helping interns develop a deeper understanding of how social structures impact vulnerable groups.
Interns are working on a variety of tasks, including conducting research on social issues affecting marginalized populations, contributing to community outreach initiatives, and assisting in the development of resources designed to support empowerment and inclusion. They are also exploring grassroots movements, policy perspectives, and the work of organizations dedicated to social justice.
Overall, the internship is helping students strengthen their research skills, qualitative analysis abilities, and understanding of social inequality, while preparing them for future work in advocacy, community development, and inclusive policymaking.
107 Applied Microeconomics Internship
As part of the Applied Microeconomics Internship under the guidance of Professor Sahoo, interns engaged in rigorous, end-to-end empirical economic research. Students contributed to literature review, data cleaning, and statistical analysis using large-scale datasets such as CMIE-CPHS and NSS, applying software tools like R and Stata. One intern supported the research team at every stage, enhancing their understanding of causal inference and analytical modelling. Another intern led tasks including reviewing academic literature, analyzing RCT data, and preparing detailed statistical tables for the final paper. Through this hands-on involvement, students gained meaningful exposure to impact evaluation methods and advanced data handling—deepening their skills in applied economic research while contributing to high-quality academic outputs.
108 Applied Microeconomics Internship
As part of the Applied Microeconomics Internship under the guidance of Professor Sahoo, interns engaged in rigorous, end-to-end empirical economic research. Students contributed to literature review, data cleaning, and statistical analysis using large-scale datasets such as CMIE-CPHS and NSS, applying software tools like R and Stata. One intern supported the research team at every stage, enhancing their understanding of causal inference and analytical modelling. Another intern led tasks including reviewing academic literature, analyzing RCT data, and preparing detailed statistical tables for the final paper. Through this hands-on involvement, students gained meaningful exposure to impact evaluation methods and advanced data handling—deepening their skills in applied economic research while contributing to high-quality academic outputs.
109 Applied Microeconomics Internship
As part of the Applied Microeconomics Internship under the guidance of Professor Sahoo, interns engaged in rigorous, end-to-end empirical economic research. Students contributed to literature review, data cleaning, and statistical analysis using large-scale datasets such as CMIE-CPHS and NSS, applying software tools like R and Stata. One intern supported the research team at every stage, enhancing their understanding of causal inference and analytical modelling. Another intern led tasks including reviewing academic literature, analyzing RCT data, and preparing detailed statistical tables for the final paper. Through this hands-on involvement, students gained meaningful exposure to impact evaluation methods and advanced data handling—deepening their skills in applied economic research while contributing to high-quality academic outputs.
110 Edge Artificial Intelligence (AI) Research Internship
This project explores Edge Artificial Intelligence (Edge AI): a rapidly emerging field that brings machine learning directly onto low-power, resource-constrained devices. The work focuses on deploying TinyML models on RISC-V–based microcontrollers to enable real-time, on-device decision-making without relying on cloud computation.
Participants will configure an IoT hardware stack, interface sensors, and implement inference pipelines using TinyML frameworks such as TensorFlow Lite for Microcontrollers. The project also examines architectural optimization on RISC-V systems to improve latency, memory efficiency, and energy usage for embedded ML workloads.
This project contributes to advancing next-generation intelligent systems and is ideal for students interested in edge computing, embedded AI, IoT systems, and efficient machine-learning deployment.
111 AI/ML Research and Development Internship
This project provides a focused research experience in Artificial Intelligence (AI) and Machine Learning (ML), enabling the intern to engage with real-world computational problems while working with cutting-edge AI/ML tools and frameworks. The intern contributes to tasks such as building and evaluating machine-learning models, analysing datasets in Python, and developing reproducible workflows using platforms like Jupyter Notebook, Anaconda, and Git/GitHub.
Beyond technical implementation, the intern is involved in reviewing relevant literature, interpreting model outputs, and aligning their work with current research trends within AI/ML. The project also offers opportunities to contribute to live research initiatives with potential for deployment or publication, thereby strengthening the intern’s academic and applied research credentials.
Through this project, the research intern gains deep exposure to the full machine-learning pipeline—problem formulation, model development, evaluation, optimization, and documentation—while working in a mentored and collaborative research environment. This experience significantly enhances the intern’s readiness for advanced study or research roles in AI and machine learning.
112 Data Analytics Internship
As part of the Data Analytics Internship under Professor incharge, students made remarkable interdisciplinary contributions at the intersection of data science, artificial intelligence, and applied research. One intern actively participated in three high-impact projects, all accepted at international conferences. In Advancing Climate Predictions, they developed machine learning models (Prophet, LSTM), generated synthetic datasets (using VAEs and Copulas), and built geospatial visualizations to forecast climatic patterns. In the AI-driven Protein Engineering and Post-Quantum Security project, they applied Random Forest and XGBoost models for mutation classification and protein feature extraction, contributing to a fusion of computational biology and cryptography. The third project, Stress Management Using Machine Learning, focused on behavioral analytics for mental wellness, where the intern led literature reviews, data processing, and model development. These contributions showcased advanced proficiency in R, Python, and domain-specific analytics, positioning the internship as a powerful platform for hands-on research, academic publishing, and cross-domain innovation.
113 Data Analytics Internship
As part of the Data Analytics Internship under Professor incharge, students made remarkable interdisciplinary contributions at the intersection of data science, artificial intelligence, and applied research. One intern actively participated in three high-impact projects, all accepted at international conferences. In Advancing Climate Predictions, they developed machine learning models (Prophet, LSTM), generated synthetic datasets (using VAEs and Copulas), and built geospatial visualizations to forecast climatic patterns. In the AI-driven Protein Engineering and Post-Quantum Security project, they applied Random Forest and XGBoost models for mutation classification and protein feature extraction, contributing to a fusion of computational biology and cryptography. The third project, Stress Management Using Machine Learning, focused on behavioral analytics for mental wellness, where the intern led literature reviews, data processing, and model development. These contributions showcased advanced proficiency in R, Python, and domain-specific analytics, positioning the internship as a powerful platform for hands-on research, academic publishing, and cross-domain innovation.
114 Oceanography Internship
This six-month internship engages students in research related to oceanography, focusing on coastal and shoreline dynamics, ocean floor structures, and the impacts of extreme events such as cyclones and tsunamis. Interns are currently working remotely on qualitative risk assessments and data analysis, with guidance on reading and writing scientific content.
The internship provides undergraduate and postgraduate students an opportunity to explore environmental science through real-world research questions relevant to marine and coastal systems.
115 Oceanography Internship
This six-month internship engages students in research related to oceanography, focusing on coastal and shoreline dynamics, ocean floor structures, and the impacts of extreme events such as cyclones and tsunamis. Interns are currently working remotely on qualitative risk assessments and data analysis, with guidance on reading and writing scientific content.
The internship provides undergraduate and postgraduate students an opportunity to explore environmental science through real-world research questions relevant to marine and coastal systems.
116 Building Inclusive Futures for Minorities Research Internship
This internship was designed to immerse students in community-oriented research focused on social equity, justice, and inclusion. Interns engaged with ongoing field and desk research that explored the systemic challenges faced by historically underrepresented groups. They were introduced to methods used to assess the social, economic, and political hurdles encountered by minority communities. Activities included literature review, survey design, grassroots engagement, and analysis of outreach program effectiveness.
Interns gained foundational understanding of:
1. Sampling techniques
2. Qualitative and quantitative research design
3. Socio-political context of marginalization
This internship cultivated a sense of civic responsibility and awareness among candidates and in turn research papers writing in the field of Inclusive Futures. Through their involvement, interns began to appreciate the role of inclusive research in shaping fairer public policies and social programs. By contributing to projects rooted in equity, they supported efforts aimed at improving the lives of communities affected by systemic disadvantage—an essential step toward fostering a more just society.
117 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
118 Crime scene investigation law internship
This project provided a single research intern with an in-depth understanding of crime scene investigation procedures from a legal standpoint. The work involved studying the chain of custody, forensic and police protocols, and the legal requirements governing the identification, collection, and preservation of physical evidence. The intern also examined crime-scene documentation practices, common investigative errors, and the impact of procedural lapses on courtroom admissibility.
In addition to completing all project components, the intern co-authored a research paper with the mentor based on the findings developed during the internship. The manuscript has been submitted for publication and is currently under review with academic journals.
This project strengthened the intern’s analytical skills in criminal law, forensic procedure, and legal research, and provided substantial experience in academic writing and publication-oriented scholarship.
119 Public Policy Internship
During the Public Policy Internship under the mentorship of PhD scholar at the Delhi School of Economics, the interns undertook extensive research on Public-Private Partnerships (PPPs) within India’s thermal power sector. Their work involved literature reviews, state-wise policy mapping, and drafting analytical notes on contractual models such as BOT and DBFOT. They also conducted plant-level analysis using indicators like Specific Oil Consumption and AT&C Losses to assess governance performance. The experience provided a dual lens of theoretical grounding in contract theory and institutional economics, as well as practical training in STATA, research design, and empirical analysis—further reinforced through participation in DSE Winter School workshops. The mentorship received helped refine academic thinking and encouraged interdisciplinary exploration, shaping the intern’s research skills with both depth and critical clarity.
120 Public Policy Internship
During the Public Policy Internship under the mentorship of PhD scholar at the Delhi School of Economics, the interns undertook extensive research on Public-Private Partnerships (PPPs) within India’s thermal power sector. Their work involved literature reviews, state-wise policy mapping, and drafting analytical notes on contractual models such as BOT and DBFOT. They also conducted plant-level analysis using indicators like Specific Oil Consumption and AT&C Losses to assess governance performance. The experience provided a dual lens of theoretical grounding in contract theory and institutional economics, as well as practical training in STATA, research design, and empirical analysis—further reinforced through participation in DSE Winter School workshops. The mentorship received helped refine academic thinking and encouraged interdisciplinary exploration, shaping the intern’s research skills with both depth and critical clarity.
121 Multi-Domain Psychology Research Assistantship
This project offers an integrated exploration of four key domains within psychology: Industrial-Organizational, Cognitive, Cyber, and Clinical Psychology, bridging theoretical concepts with practical research applications. The work spans employee motivation and workplace dynamics, attention and memory assessments, technology-driven behavioural influences, and foundational mental health evaluation.
The intern contributes to designing surveys, observing and analysing cognitive assessments, conducting literature reviews, developing cyber-psychology awareness modules, and assisting with basic counselling-related research tasks. They also gain experience working with data, interpreting findings, and understanding ethical research practices across diverse psychological settings.
In addition to these responsibilities, the intern is actively learning the entire research process, from conceptualising research questions to reviewing literature, analysing data, and drafting scholarly material. Under the professor’s guidance, the intern is also developing an independent research paper for publication, enhancing their academic readiness and research competency for future scholarly work.
122 Political Theology Internship
This project engages the intern in research at the intersection of political theology and contemporary social change. The intern assists in analysing theoretical texts, examining sociopolitical developments through theological frameworks, and contributing to qualitative research activities such as thematic analysis, conceptual mapping, and scholarly writing.
The learning outcome includes supporting literature reviews, synthesising arguments across political theory and theology, and preparing academic notes or draft sections for research outputs. Through this project, the intern gains structured exposure to research methodology, qualitative analysis, and academic writing, strengthening their ability to engage with interdisciplinary scholarship in political theology and sociology.
123 Women, Psychology and Mental Health: In Collaborat
This project centers on empirical and conceptual research in clinical psychology, with a specific focus on women’s mental health, aging populations, caregiving contexts, and gender-focused psychosocial dynamics. The work involves designing data-collection instruments, conducting field-based or remote data collection, and engaging in both qualitative and quantitative analysis. Contributors also assist in developing and refining research tools, conducting literature reviews, and preparing academic manuscripts, policy briefs, and analytical reports.
A key feature of this project is that the candidates are learning the entire research process—from identifying research gaps and designing surveys to analysing data, writing manuscripts, and preparing work for academic submission. In addition to assisting the professor with ongoing research, candidates are also developing their own thesis for publication under the professor’s close mentorship, allowing them to build independent scholarly capacity while contributing to a larger research program.
The project is structured to strengthen research competence, methodological rigour, and academic writing skills, while providing meaningful exposure to international research practices through collaborations with faculty affiliated with multiple UK-based universities.
124 Comparative study of ethnic practices and its sustainability Internship
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
125 Comparative study of ethnic practices and its sustainability Internship
This project examines the interaction between literature, culture, and society through the lens of ethnic studies and cultural sustainability. It involves analyzing literary works that engage with themes such as caste, class, gender, identity, migration, globalization, and resistance. The project encourages contributors to understand literature not merely as artistic expression but as a cultural artifact that dialogues with its historical, social, and political contexts.
The candidate has also actively applied for paper presentations at several international academic platforms. Through this project, they are learning the complete research lifecycle—from identifying research gaps and conducting literature reviews to writing manuscripts and preparing conference submissions,thereby strengthening their academic preparedness and research competency for future scholarly work.
126 Digital Communication and Social Impact Internship
This project focuses on integrating digital communication with social-impact–driven academic research dissemination, in collaboration with professionals associated with Oxford University and leading media networks. The work involves conceptualizing and producing high-quality digital content that communicates research insights in areas such as mental health, women’s health, and education to diverse audiences.
The candidate is responsible for managing the entire social media dissemination pipeline including content planning, creation, scheduling, analytics tracking, and strategy refinement. They also conduct background research on academic themes, translate complex concepts into accessible digital formats, and contribute to campaigns aimed at awareness-building and knowledge mobilisation.
This project strengthens skills in academic communication, digital strategy, and impactful storytelling, providing exposure to real-world dissemination practices within interdisciplinary research environments.
127 ML Research Bootcamp Internship
As part of the ML Bootcamp Internship under the project supervisor, scholars engaged in advanced interdisciplinary research at the intersection of artificial intelligence, computational biology, and social science. One strand of the internship focused on Protein Engineering, where interns conducted a comprehensive literature survey exploring the application of machine learning techniques in protein structure prediction, mutation analysis, and bioinformatics. Utilizing state-of-the-art tools such as AlphaFold, Protein Data Bank (PDB), and Rosetta, and employing Mendeley for scholarly organization, the study synthesized current methodologies and mapped them to key challenges in protein studies—laying the foundation for future computational approaches in biological sciences.
In parallel, interns contributed to research on Social Media and Juvenile Delinquency, employing sociological theory and analytical reasoning to investigate the influence of digital platforms on youth behavior. Through literature reviews, data interpretation, and research synthesis, the study highlighted how online environments shape adolescent conduct, offering academically grounded insights into this emerging area.
Additionally, during an extended collaboration with IIT Madras, interns worked on enhancing Large and Small Language Models (LLMs/SLMs) for healthcare diagnostics. By developing AI-driven models for automated diagnosis and medical report generation, they improved diagnostic accuracy by 20% and increased system efficiency by 35%, while reducing data processing time. This work contributed to a deeper understanding of model optimization, deployment challenges, and the transformative role of AI in clinical decision-making.
Collectively, these projects reflect the internship’s research depth, methodological diversity, and its role in preparing scholars for high-impact, real-world applications of machine learning across domains.
128 Critical Theory and Interpretation Internship
As part of the Critical Theory and Interpretation Internship, scholars engaged in advanced literary analysis through frameworks such as Feminism, Marxism, Postcolonialism, Psychoanalysis, and Reader-Response Theory. The internship emphasized close reading, contextual research, and theoretical interpretation to uncover deeper cultural and philosophical meanings within texts. Interns analyzed works through critical lenses inspired by Adorno, Foucault, and Kristeva, preparing analytical essays and presentations that connected literature to social and ideological structures. They also participated in seminars and workshops on literary theory, enhancing their skills in critical argumentation, academic writing, and interdisciplinary reasoning. The internship fostered scholarly rigor and interpretive depth, preparing participants for research and publication in literary criticism and cultural studies.
129 Building Inclusive Futures for Minorities Research Internship
This ongoing internship focuses on understanding the lived experiences, challenges, and systemic disadvantages faced by minority and marginalized communities. Interns are currently engaged in meaningful sociological research aimed at promoting social equity, inclusion, and justice. The internship provides hands-on exposure to real-world issues while helping interns develop a deeper understanding of how social structures impact vulnerable groups.
Interns are working on a variety of tasks, including conducting research on social issues affecting marginalized populations, contributing to community outreach initiatives, and assisting in the development of resources designed to support empowerment and inclusion. They are also exploring grassroots movements, policy perspectives, and the work of organizations dedicated to social justice.
Overall, the internship is helping students strengthen their research skills, qualitative analysis abilities, and understanding of social inequality, while preparing them for future work in advocacy, community development, and inclusive policymaking.
130 Public Policy Internship
During the Public Policy Internship under the mentorship of PhD scholar at the Delhi School of Economics, the interns undertook extensive research on Public-Private Partnerships (PPPs) within India’s thermal power sector. Their work involved literature reviews, state-wise policy mapping, and drafting analytical notes on contractual models such as BOT and DBFOT. They also conducted plant-level analysis using indicators like Specific Oil Consumption and AT&C Losses to assess governance performance. The experience provided a dual lens of theoretical grounding in contract theory and institutional economics, as well as practical training in STATA, research design, and empirical analysis—further reinforced through participation in DSE Winter School workshops. The mentorship received helped refine academic thinking and encouraged interdisciplinary exploration, shaping the intern’s research skills with both depth and critical clarity.
