Job Title

Job Description for JRF- DBT ProjectName of the PIDr. Ashish Srivastava, Assistant Professor, School of Engineering, Presidency University, BangaloreName of the ProjectEggplant nutrient and disease detection and identification using artificial intelligence techniquesFunding AgencyDepartment of Biotechnology (DBT), Govt of IndiaProject Duration3 yearsJob DescriptionThe JRF will be responsible for collecting and curating image datasets of eggplant crops, developing and optimizing deep learning models for disease and nutrient deficiency detection, and validating model performance using field data. The candidate will also assist in research documentation, preparation of technical reports, and publication of findings in peer-reviewed journals.QualificationM.E./M.Tech in Computer Science & Engineering, Artificial Intelligence, or allied branches from a recognized university. Candidates qualified through GATE/NET or other national-level examinations will be preferred. Desirable: Hands-on experience in deep learning frameworks (TensorFlow/PyTorch), image processing (OpenCV), agricultural AI applications, and proficiency in Python programming. Prior research experience, publications, or project work in computer vision-based disease detection systems will be an added advantage.FellowshipFor NET/GATE qualified candidates: ₹37,000/- per month + HRA as per DST/Government of India rules.For Non-NET/GATE qualified candidates: ₹25,000/- per month + HRA as per DST/Government of India rulesSelection ProcessCandidates will be shortlisted based on their academic merit, relevant experience, and alignment with the project requirements. Only shortlisted candidates will be notified for the interview, which will be conducted in online mode. Fulfilment of the minimum eligibility criteria does not guarantee selection for the interview.Note:Last Date to Apply: 21.03.2026