Overview: The Health Informatics Lab (HI-Lab) invites applications for an intensive AI Research Traineeship in Reinforcement Learning, designed to bridge the gap between classroom theory and hands-on research. The Trainee will progress through a structured research trajectory focused on Reinforcement Learning for health informatics, supported by mathematical foundations and real world projects.
Requirements:
- Academic: Currently enrolled undergraduate student (Artificial Intelligence, Computer Science, Computer Engineering, or related disciplines).
- Mathematical Foundations: Strong understanding of linear algebra, calculus, probability, and statistics.
- Technical: Strong Python programming skills; familiarity with RL frameworks (PyTorch, Gym Environment); basic knowledge of Machine Learning and Deep Learning.
- Soft Skills: Strong communication skills and aptitude for collaborative research environments.
Program Details
- Nature: Traineeship (Unpaid / Research-focused)
- Duration: February 15 – June 15, 2026
- Location: Health Informatics Lab, Kathmandu University
Key Responsibilities & Focus Areas
- Hands-on Reinforcement Learning projects in the context of Nepal
- Literature review and critical analysis of relevant research papers to identify gaps in healthcare AI.
- Training, evaluation, and optimization of reinforcement learning models.
- Preparation of technical documentation, including reports, drafts, and presentations.
- Active engagement with fellow trainees and senior researchers.
How to Apply: Submit a CV and a brief Statement of Interest (highlighting your background in math and programming) to:
Email: hilab (at) ku(dot)edu(dot)np with Subject: Application: AI Research Trainee – [Your Name]