for JRF- DBT Project

Name of the PI

Dr. Ashish Srivastava, Assistant Professor, School of Engineering, Presidency University, Bangalore

Name of the Project

Eggplant nutrient and disease detection and identification using artificial intelligence techniques

Funding Agency

Department of Biotechnology (DBT), Govt of India

Project Duration

3 years

The 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.

Qualification

M.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.

Fellowship For 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 rules

Selection Process

Candidates 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

📌 Junior Researcher (Bangalore Metropolitan Area)
🏢 Presidency University Bangalore
📍 Bangalore Metropolitan Area