Diabetic Retinopathy Detection & Uncertainty-Aware Medical AI Internship

About Internship

Assistant Professor from Manipal University Jaipur, is accepting candidates interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

The Internship offers an opportunity to contribute to research at the intersection of deep learning, computer vision, and medical AI. The project focuses on developing reliable AI systems for the detection and classification of diabetic retinopathy from retinal fundus images, with particular emphasis on model reliability and uncertainty estimation. Interns will conduct literature reviews, collect and preprocess retinal fundus image datasets, develop and evaluate deep learning models, and investigate uncertainty estimation, confidence calibration, robustness, generalization, and explainability. The research will also involve analyzing false-positive, false-negative, and uncertain clinical cases to assess model reliability. Interns will conduct experiments using Python, PyTorch/TensorFlow, OpenCV, and relevant AI tools, maintain reproducible research documentation and code, and participate in regular research discussions and presentations. The internship also provides an opportunity to contribute to manuscript preparation and research publication. For eligible research resulting in a Q1 journal publication, APC support may be considered subject to journal requirements, institutional policies, and the candidate's substantial research contribution. Authorship will follow standard academic authorship guidelines.