ICAR-IARI SRF AKMU Recruitment 2026
ICAR-Indian Agricultural Research Institute (ICAR-IARI) - Agricultural Knowledge Management Unit
Published Source: Official Notification Report an error
Vacancies
2
Salary
₹37,000 - ₹37,000
Job Type
Contract
Full time
Apply By
28 Sep 2026
About This Job
Apply for 2 Senior Research Fellow posts in ICAR-IARI. CS/IT master's eligible. Salary: Rs 37,000 plus HRA. Last date: 28 Sep 2026.
ICAR-IARI Senior Research Fellow Recruitment 2026: Overview
ICAR-Indian Agricultural Research Institute (ICAR-IARI) is engaging Senior Research Fellows in its Agricultural Knowledge Management Unit at Pusa, New Delhi. The fellows will support two externally funded digital-agriculture projects: one combines weather and remote-sensing data for early warning of crop pests and diseases, while the other develops and supports the Kisan Sarathi platform for crop sciences. Both roles sit at the intersection of agriculture, data and software, making them a useful fit for computer-science researchers who want applied public-sector project experience.
Posts and Disciplines
- SUFALAM Phase II project: Work with weather, remote-sensing and crop-health data to help develop geospatial forewarning models for pests and diseases. The project is funded by the Space Applications Centre, Ahmedabad.
- Kisan Sarathi 2.0 project: Support the enhancement, operation and maintenance of a digital knowledge platform for crop sciences. This project is funded by ICAR and Digital India Corporation.
Post-wise Duties
Senior Research Fellow — SUFALAM Phase II
You will help organise and analyse weather, remote-sensing and crop-protection datasets, contribute to statistical models, and support the development of practical forewarning outputs. Your work may also involve databases, web-based tools and clear technical documentation for the research team.
Senior Research Fellow — Kisan Sarathi 2.0
You will support the development and operation of the Kisan Sarathi system, work with its databases and web components, and help the team test and improve digital services. Knowledge of artificial-intelligence tools and statistical modelling will be useful across both projects.
Service Conditions and Caveats
- Temporary engagement: The appointment is linked to the funded scheme and creates no right to regular employment with ICAR or ICAR-IARI.
- Tenure: The present term runs up to 31 March 2027 and may continue until March 2028. It can end earlier if the scheme is terminated.
- Early termination: ICAR-IARI may end the engagement with one month's notice if project circumstances change.
- Shortlisting: The unit will assess eligibility, academic record and relevant research experience, then contact shortlisted applicants by email.
- Interview travel: No TA or DA will be paid for attending the in-person interview in New Delhi.
- Communication: No separate call letter will be issued, so you should monitor the email address given in your application.
Application Submission Notes
Send the prescribed form and self-attested supporting records in one scanned PDF to amrender.kumar@icar.org.in, and also complete the linked Google Form. Do not post a paper application to the institute; incomplete submissions or forms without the supporting records can be rejected.
If called for the interview, carry the filled application, one set of self-attested copies, all original records and recent passport photographs to the Agricultural Knowledge Management Unit, L.B.S. Building, ICAR-IARI, Pusa, New Delhi. Applicants currently employed elsewhere should also bring an employer NOC. Your originals are needed for verification at the venue.
Responsibilities
- Develop and support web-based research systems for the assigned project
- Manage project databases and keep research data organised
- Analyse agricultural, weather, remote-sensing, or platform data
- Build and test statistical models and digital research tools
- Prepare clear technical notes, datasets, and progress outputs
- Coordinate project tasks with scientists and technical team members
Eligibility Criteria
Minimum Qualification
BTech or bachelor's degree in Computer Science plus a master's in Computer Science, Information Technology, Information Security, Information Sciences, MCA, or equivalent. Master's holders need a four- or five-year bachelor's programme; three-year...
Preferred Qualification
Experience developing web-based systems, databases, and AI tools, with knowledge of statistical modelling
Required Skills
Web application development, databases, AI tools, statistical modelling, and research data handling
Age Limit
18 - 35 years (as on 28 Sep 2026)
Age Relaxation:
- SC/ST and women: 5 years
- OBC: 3 years
Experience
2.0 - No limit years
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Salary & Compensation
Pay Scale
Rs. 37,000 per month plus HRA as admissible
Allowances
House Rent Allowance as admissible
Selection Process
- 1 Interview
- 2 Document Verification
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: Online
Click the "Apply Now" button to visit the official application portal.
Required Documents:
- Prescribed application form
- Self-attested educational qualification certificates
- Self-attested experience certificates
- Publication records, if applicable
- Employer NOC, if employed
- Original certificates for interview verification
- Two recent passport-size photographs
Frequently Asked Questions
The last date for ICAR-IARI to receive your application is 28 September 2026.
The Senior Research Fellow salary is Rs. 37,000 per month plus admissible HRA.
You need the specified Computer Science bachelor's and master's qualifications, the applicable NET condition, and at least two years of research experience.
Email the prescribed form and self-attested records as one PDF to amrender.kumar@icar.org.in, and complete the official Google Form.
ICAR-IARI will shortlist applications using eligibility, academic performance and relevant research experience, followed by an in-person interview and document verification.
Important Dates
Notification
31 Aug 2026
Application Start
31 Aug 2026
Last Date to Apply
28 Sep 2026
Job Locations
Categories
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