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- Applications closed — 19 May 2026
This recruitment closed on 19 May 2026
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IITGN JRF Recruitment 2026
Indian Institute of Technology Gandhinagar (IIT Gandhinagar) - Department of Computer Science & Engineering
Published Source: Official Notification Report an error
Vacancy
1
Salary
₹37,000 - ₹37,000
Job Type
Contract
Full time
Apply By
19 May 2026
About This Job
Apply for 1 JRF post at IITGN. PG Basic Science or Graduate/PG Professional degree with NET/GATE eligible. Salary: Rs 37,000. Last date: 19 May 2026.
IIT Gandhinagar is hiring 1 Junior Research Fellow (JRF) in the Department of Computer Science & Engineering. If you have a Post Graduate Degree in Basic Science or a Graduate/Post Graduate Degree in a Professional Course with NET/GATE or another approved national-level selection route, you can apply online. The last date to apply is 19 May 2026. The consolidated monthly pay is Rs. 37,000.
IIT Gandhinagar JRF Recruitment 2026 - 1 Post
Indian Institute of Technology Gandhinagar (IITGN) has issued Advertisement No. SPON/70143/Advt0194 dated 05 May 2026 for a temporary JRF position under Prof. Nipun Batra. The project is titled Automated Crop mapping using time-series satellite and ancillary data. This is a 12-month research appointment linked to an ISRO-IIT Gandhinagar research effort on AI for agricultural intelligence.
Who Can Apply?
- Essential qualification: Post Graduate Degree in Basic Science, or Graduate/Post Graduate Degree in a Professional Course.
- Selection route: You should be selected through CSIR-UGC NET, GATE, or a national-level examination conducted by agencies/institutions such as DST, DBT, DAE, DOS, DRDO, MoE, ICAR, ICMR, IIT, IISc, IISER, NISER and similar bodies.
- Department: Computer Science & Engineering.
- Project area: AI/ML for crop mapping using satellite imagery and supporting weather, soil and crop-calendar data.
Desirable Skills
- Comfort with Python and ML libraries such as PyTorch, scikit-learn, NumPy and pandas.
- Experience with at least one end-to-end ML project through coursework, internship, hackathon or open-source work.
- Familiarity with Git/GitHub and reproducible coding practices.
- Interest in remote sensing, satellite imagery, geospatial data, agriculture, climate or sustainability.
- Ability to read and write research papers or technical documents.
Salary
- Consolidated monthly pay: Rs. 37,000 per month.
- Appointment duration: 12 months.
- This is a temporary project position at IIT Gandhinagar.
Selection Process
- Application Screening: IITGN will review online applications for eligibility, national test qualification and project fit.
- Shortlisting: Candidates with suitable ML, coding, geospatial or research experience may be shortlisted.
- Interview: Shortlisted candidates are expected to appear for the selection interaction as informed by IITGN.
What You Will Work On
- Build machine-learning and deep-learning models for in-season field-level crop maps.
- Work with time-series satellite data from sources such as Sentinel-1/2, Landsat and other inputs.
- Use multi-modal data fusion across optical, SAR, weather, soil and topographic data.
- Study self-supervised, semi-supervised and weakly-supervised learning on large satellite archives.
- Prepare reproducible experiments, open-source tooling and research papers for ML or remote-sensing venues.
How to Apply
- Go to the IIT Gandhinagar project staff recruitment portal at recruitment.iitgn.ac.in/projectstaff.
- Register or log in on the project staff portal.
- Select the JRF opening under Computer Science & Engineering with Prof. Nipun Batra.
- Fill in your academic, national test, project and experience details.
- Submit the online form before 19 May 2026.
Important Dates
- Advertisement Date: 05 May 2026
- Application Start Date: 05 May 2026
- Last Date to Apply: 19 May 2026
Responsibilities
- Develop ML and deep-learning models for crop mapping from time-series satellite imagery.
- Work with optical, SAR, weather, soil, crop-calendar and topographic datasets.
- Design reproducible Python experiments using ML libraries and clean version-control practices.
- Support model generalisation across geographies, seasons and sensors.
- Help prepare technical reports, research papers and open-source tools for the project.
Eligibility Criteria
Minimum Qualification
Post Graduate Degree in Basic Science OR Graduate/Post Graduate Degree in Professional Course with CSIR-UGC NET/GATE or another approved national-level examination route
Preferred Qualification
Python and ML libraries, end-to-end ML project experience, Git/GitHub, interest in remote sensing, satellite imagery, agriculture, climate or sustainability
Required Skills
Python, PyTorch/scikit-learn/NumPy/pandas, machine learning, deep learning, Git/GitHub, research writing, remote sensing interest
Am I eligible?
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Salary & Compensation
Pay Scale
Consolidated Rs. 37,000 per month
Allowances
Consolidated monthly remuneration as per advertisement
Selection Process
- 1 Interview
Exam Pattern
There is no written exam mentioned in the notification. Selection is expected through application screening and interview/interaction for shortlisted candidates.
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: Online
Required Documents:
- Educational qualification certificates
- NET/GATE or other national-level examination proof
- Resume/CV
- Experience or project proof, if available
- Identity proof
- Category certificate, if applicable
Frequently Asked Questions
The last date to submit the online application is 19 May 2026.
The selected JRF will get a consolidated monthly pay of Rs. 37,000.
You need a Post Graduate Degree in Basic Science or a Graduate/Post Graduate Degree in a Professional Course with CSIR-UGC NET, GATE or another approved national-level selection route.
Apply online through the IITGN project staff portal at recruitment.iitgn.ac.in/projectstaff before the deadline.
The project focuses on automated crop mapping using time-series satellite and ancillary data with machine learning and deep learning.
Important Dates
Notification
05 May 2026
Application Start
05 May 2026
Last Date to Apply
19 May 2026
Job Locations
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