Intern Under
Assistant Professor

Computer Science and Engineering

Bhagwan Parshuram Institute of Technology, India

AI for Carbon Trading and Sustainable Ecosystems Internship

Field of Internship

Computer Science Engineering

Research Area of Internship

Artificial intelligence and Machine learning

About Internship

Assistant Professor from Bhagwan Parshuram Institute of Technology, India, is accepting candidates interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

The AI for Carbon Trading and Sustainable Ecosystems Internship offers an opportunity to explore the application of Artificial Intelligence and Machine Learning in carbon trading, environmental sustainability, and evidence-based decision-making. The internship focuses on developing and studying bio-inspired and adaptive AI systems that can support sustainable ecosystems through intelligent resource allocation and transparent environmental analysis. Interns will contribute to research involving data collection and preprocessing, exploratory data analysis, predictive modeling, optimization techniques, and evaluation of AI-driven approaches for carbon trading and sustainability applications. The role also includes reviewing relevant research literature, analyzing environmental and market datasets, and preparing technical documentation and research reports. This internship is ideal for students interested in the intersection of AI, sustainability, environmental economics, carbon markets, and intelligent decision-support systems, while gaining hands-on experience in research-oriented problem solving and interdisciplinary innovation.

Desired Skills/Techniques

Data Analysis, Critical Reasoning and Aptitude, Python,

Who is eligible?

Bachelors/Masters

Mode of the Internship

Virtual

Open Positions

The number of candidates being selected is flexible and dependent on the quality of applications for this position.

Internship Duration

6 months

Paid/Unpaid

UnPaid

Application opens on

Available round the

Application Deadline

Available round the

Starting date of Internship

Available round the

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