Job Opportunities for Research Fellow and Administrative Assistant/Field Worker Positions at ICAR-IARI, New Delhi
The Indian Agricultural Research Institute (IARI) has announced a new project titled "Application of machine learning for hyperspectral imaging and remote sensing aimed at early detection of fungal foliar disease and bacterial wilt disease in potato crop". This exciting initiative is funded by the Department of Biotechnology (DBT) and offers two vacancies: one for a Junior Research Fellow (JRF) and another for a Scientific Administrative Assistant/Field Worker.
Junior Research Fellow (JRF) Position
Qualifications: Candidates for the JRF position should hold a Master’s degree in Life Sciences or related fields such as Genetics, Biochemistry, Microbiology. Eligibility for JRF positions under DBT-funded projects typically includes CSIR-UGC NET-JRF, GATE, ICMR-JRF, or DBT-JRF, or equivalent national-level test qualifications.
Remuneration: The JRF position offers a monthly stipend of around ₹31,000, plus 8% House Rent Allowance (HRA), as per similar recent notifications.
Duration: The initial appointment is for 1 year or until the project termination, whichever is earlier, and is extendable based on performance.
Application Process: Interested applicants should send a single PDF file containing their documents to [email protected]. The deadline for application submission is 31st August 2025, 5:30 PM.
Scientific Administrative Assistant/Field Worker Position
Qualifications: While specific qualifications are not detailed for this particular DBT project, typically these positions require a Bachelor’s degree in a relevant science subject or experience in field data collection and administrative tasks.
Remuneration: The remuneration for the Scientific Administrative Assistant/Field Worker position is Rs. 18,000 + 24% HRA (Total: Rs. 22,320) per month.
Duration: The positions are purely temporary and contractual, with no claim for regular appointment.
Application Process: Interested applicants should follow the same application process as the JRF position.
The project aims to leverage machine learning and remote sensing technologies to develop early detection methods for fungal and bacterial diseases in potato crops. Successful candidates will contribute to this groundbreaking research, which has the potential to significantly improve potato crop yields and contribute to food security.
For the official notification, application format, and declaration form, visit the IARI website (https://www.iari.res.in). Remember, only shortlisted candidates will be contacted via email. Good luck!
- The project at the Indian Agricultural Research Institute (IARI) will also benefit from medical-conditions related expertise, as it focuses on identifying early-stage fungal and bacterial diseases in potato crops, which can be achieved through advancements in science and technology.
- With the successful integration of machine learning and remote sensing technologies in the potato crop disease detection project, there may be potential applications beyond agriculture, possibly paving the way for improved detection of medical-conditions in other fields, merging science and technology for innovative solutions.
