IIT Roorkee JRF SRF Recruitment 2026

IIT Roorkee is hiring 1 JRF/SRF for a glacier and disaster risk research project at the Centre of Excellence in Disaster Mitigation and Management. If you have a Geology, Geophysics, Geoscience, Remote Sensing, Geomatics, Geoinformatics, MCA, or related M.Tech/M.Sc background, you can apply by email. The last date to send your application is 29 June 2026. Salary is Rs. 37,000 per month plus HRA for JRF and Rs. 42,000 per month plus HRA for SRF.

IIT Roorkee JRF SRF Recruitment 2026 - 1 Post

Indian Institute of Technology Roorkee (IIT Roorkee) has released a project advertisement dated 15 May 2026 for one JRF/SRF position under Principal Investigator Dr. Ajanta Goswami. The project is titled Comprehensive Analysis of Glacial Lake Dynamics in Ladakh and its Associated Risk Under Changing Climatic Condition Using Geospatial Techniques. The work is part of collaborative research under the NICES programme of NRSC, ISRO, so it is useful for candidates interested in disaster mitigation, climate risk, remote sensing, and Himalayan glacier studies.

This is a focused research project role, not a regular permanent IIT post. The notification connects the position with glacier lake dynamics, Ladakh, climate conditions, and risk analysis using geospatial techniques. If your past study or project work includes satellite data, GIS mapping, earth science interpretation, environmental modelling, or disaster risk analysis, mention those details clearly in your CV.

Who Can Apply?

Educational Qualification

• Geoscience background: You can apply with M.Sc, M.Sc.Tech, or M.Tech in Geology, Geophysics, Applied Geology, Applied Geophysics, Geological Technology, Geophysical Technology, Geosciences, or Applied Geosciences.
• Remote sensing and geomatics: Postgraduate or professional courses related to Geoinformatics, Geomatics, Remote Sensing, or equivalent are accepted.
• Engineering and computer background: M.Tech in Civil, Computer Science, Electronics, or Electrical, MCA in Computer Science, or related qualifications listed in the notification can apply.
• Science background: M.Sc in Physics, Geophysics, Geology, Mathematics, or Environmental Sciences is accepted. For Environmental Sciences, the notification mentions Mathematics in B.Sc..
• Nationality: The advertisement is for Indian nationals.

Project Fit

• Useful interests: The project needs work around glacial lake dynamics, Ladakh, climate conditions, disaster risk, and geospatial techniques.
• Research direction: Candidates with GIS, remote sensing, earth science, or environmental data skills should check the qualification list carefully before applying.
• PhD opportunity: The notification says the selected candidate may get an opportunity for PhD admission.

The PDF lists one position only, so the final designation may be JRF or SRF based on the selection decision and applicable project fellowship norms. The advertised work is technical and research-heavy, so use your application to show how your degree, software skills, field exposure, or research experience fits the project title.

Salary

• JRF pay: Rs. 37,000 per month plus HRA.
• SRF pay: Rs. 42,000 per month plus HRA.
• Duration: The post is available up to the duration of the project.
• Level decision: The JRF or SRF level will depend on how IIT Roorkee applies the project and fellowship rules at selection time.

Selection Process (No Written Exam)

The notification gives an interview-based process. You should first send your application and documents by email before the deadline, because only shortlisted applicants will receive the offline venue or online interview link.

1. Application scrutiny: IIT Roorkee will check whether your qualification and documents match the advertised JRF/SRF position.
2. Shortlisting: Shortlisted applicants will be contacted for the interview details.
3. Interview: The interview is planned in offline and online mode on 1 July 2026 from 14:00 HRS onwards.
4. Document verification: Degree certificates, experience certificates, CV, and other submitted documents may be verified before final selection.

SC/ST candidates will get preference when qualifications and experience are equal, as stated in the advertisement.

The application process is email-based. There is no separate online form or application fee mentioned in the PDF. Keep your email subject clear, attach readable scanned documents, and use a professional file name for your CV so the project team can check your details quickly.

How to Apply

1. Prepare an application on plain paper with your detailed CV in the format attached to the advertisement.
2. Add details of research, industrial, field, or other experience if you have them.
3. Attach scanned copies of degree certificates, experience certificates, and a colour passport-size photograph.
4. Email the application and documents to jrf.nices.iitr@gmail.com.
5. Make sure the email reaches the Principal Investigator office by 29 June 2026.
6. Watch your email for the offline venue or online interview link if you are shortlisted.

Do not wait for the last day, because the notification asks candidates to check their own eligibility before appearing for the interview.

Shortlisted applicants should keep both online and offline interview options open because the advertisement says the interview will be held in both modes. The venue and online link will be shared only with shortlisted candidates, so check your email regularly after the application deadline.

Important Dates

• Notification Date: 15 May 2026
• Last Date to Email Application: 29 June 2026
• Interview Date: 1 July 2026
• Interview Time: 14:00 HRS onwards

• Handle geospatial analysis related to glacial lake dynamics in Ladakh
• Prepare maps, datasets, and research outputs for the project team
• Work with remote sensing, geomatics, GIS, or earth science data as assigned
• Assist the Principal Investigator with field, literature, and technical research work
• Keep records of data sources, methods, results, and project documents
• Follow IIT Roorkee and sponsor reporting requirements for project progress