Intern Under
Assistant Professor

Computer Science Engineering

Indian Institute of Technology, Jammu (IIT Jammu)

Multitask Learning in Medical AI Research Mate Internship

Field of Internship

Computer Science Engineering

Research Area of Internship

Artificial intelligence and Machine learning

About Internship

Assistant Professor from Indian Institute of Technology, Jammu (IIT Jammu), is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

This internship focuses on advanced research topics in artificial intelligence, specifically multitask learning for medical imaging and the analysis of failure cases in vision–language models. Interns will implement research ideas, evaluate model performance, and analyze results to understand system limitations and improvement opportunities. The internship emphasizes hands-on experimentation, result visualization, and research documentation in the context of cutting-edge AI applications in healthcare and computer vision. Key Responsibilities: 1. Implementing AI/ML models related to multitask learning and vision–language systems 2. Conducting experiments and evaluating model performance on relevant datasets 3. Plotting and visualizing experimental results for interpretation 4. Analyzing failure cases to identify limitations and improvement strategies 5. Assisting in preparation of technical reports and research documentation 6. Participating in research discussions and progress reviews Learning Outcomes: 1. Gain practical experience in advanced AI techniques for medical imaging 2. Develop skills in experimentation, performance evaluation, and result visualization 3. Understand challenges and failure modes in modern vision–language models 4. Strengthen programming and analytical skills in AI research workflows 5. Improve technical writing and scientific reporting abilities

Desired Skills/Techniques

Maths and Stats, Jupyter Notebook, Python, Git/Github,

Who is eligible?

High-schoolers, 12th pass-outs, gap year and diploma students.

Mode of the Internship

Virtual

Open Positions

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

Internship Duration

2 Months

Paid/Unpaid

UnPaid

Application opens on

Available round the
year

Application Deadline

Available round the
year

Starting date of Internship

Available round the
year

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