Senior Research Fellow (SRF) – AI for Healthcare

Position: Senior Research Fellow (SRF) Number of Openings: 1 Project Duration: 1 Year Location: Mahindra University, Hyderabad, India Department: Centre for Life Sciences Salary: Rs. 42,000/ month + Hostel accommodation Project Funding: IHub-Data, IIIT-Hyderabad (Established under the National Mission on Interdisciplinary Cyber Physical Systems scheme of Department of Science & Technology, Government of India). About Us: Centre for Life Sciences at Mahindra University has major focus on translational research in the area of AI in Healthcare & Computational Biology. The centre is also active in advanced experimental research with groups working in the area of bio-based products/platforms development and discovery, discovery of novel biomarkers and development of efficient biosensors. Position Overview: You would work on a project problem with significant impact on public health. As a member of project team, you will contribute to AI model development, validation and creation of a user-friendly web/smartphone application for real-life testing and further validation. Key Responsibilities: Data collection, development and validation of AI models using Retinal Fundus Images (TensorFlow/PyTorch) Visiting collaborating hospitals in Hyderabad for data collection. Development of web/smartphone application (Flask/ React Native/Flutter) Qualifications: BS/B.Tech/BS-MS (Dual Degree) or M.Tech having qualified CSIR-NET/GATE or selection process through national level examinations conducted by DST/DBT/DAE/DOS/DRDO/MoE/ICAR/ICMR/IIT/IISc/IISER/NISER etc. with 2-years post qualification experience. Required Skills: Experience in AI (deep learning/neural networks) and machine learning, preferably in healthcare domain. Strong programming skills in Python, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch etc.). Experience in developing applications for web and/or smartphone integrating TensorFlow Lite/js.

Centre for Life Sciences at Mahindra University has major focus on translational research in the area of AI in Healthcare & Computational Biology. The centre is also active in advanced experimental research with groups working in the area of bio-based products/platforms development and discovery, discovery of novel biomarkers and development of efficient biosensors.