Ph.D. Research Scholar

Karunya Institute of Technology and Sciences

About the Role

Pursue doctoral research in Medical Image Processing and AI-driven Healthcare.

Research Areas

• Medical Image Segmentation and Classification
• Deep Learning and Computer Vision
• AI/XAI/Quantum Computing for Biomedical Image Processing & Analysis

Educational Qualifications

• Regular Ph.D.: Master’s degree in a relevant discipline with a minimum CGPA of 6.0 or equivalent percentage.
• Preferred for enhanced fellowship: Minimum CGPA of 7.0 in the qualifying postgraduate program, along with an eligible GATE/NET/SLET score, or the alternative research-publication/patent criteria specified by Karunya.
• Candidates from Biomedical Engineering, Medical Electronics, Computer Science, Electronics, and related disciplines are encouraged to explore eligibility.

Monthly Fellowship – Full-Time Ph.D. (School of Engineering and Technology)

• ₹40,000/month: Eligible GATE/NET/SLET-qualified category, subject to university criteria.
• ₹20,000/month: Other eligible full-time Ph.D. scholars.

Fellowship eligibility and award are subject to Karunya University regulations and applicable conditions.

How to Apply

Interested candidates may connect via LinkedIn direct message to discuss the research opportunity and application process.

Official Ph.D. admissions and eligibility

• https://admissions.karunya.edu/programmes/research