IIT Roorkee Senior Research Fellow (SRF) Recruitment 2026
Indian Institute of Technology, Roorkee
📅 Important Dates
| Application Start | 14 May 2026 |
|---|---|
| Last Date to Apply | 05 Jun 2026 |
| Fee Payment Deadline | 05 Jun 2026 |
📋 Vacancy Details
| Post Name | Senior Research Fellow (SRF) |
|---|---|
| Total Vacancies | 1 |
| Qualification | M.E./M.Tech/M.S. and B.E./B.Tech in relevant engineering disciplines with 65% aggregate/6.5 CGPA and 2 years research experience. |
| Age Limit | Refer to official notification |
| Salary | Rs. 42,000 per month |
| Application Fee | Nil |
| Selection Process | Online Interview and Document Verification |
📝 Detailed Notification Information
IIT Roorkee Senior Research Fellow (SRF) Recruitment 2026
The Indian Institute of Technology (IIT) Roorkee has announced a prestigious opportunity for research professionals through its latest recruitment notification. The institute is inviting applications for the position of Senior Research Fellow (SRF). This contractual role is ideal for candidates with a strong academic background in engineering and a passion for research, offering a competitive monthly stipend and the chance to work in a premier technical environment.
Key Highlights
- Organization: Indian Institute of Technology, Roorkee
- Post Name: Senior Research Fellow (SRF)
- Total Vacancies: 1
- Mode of Application: Online
- Salary: Rs. 42,000 per month
- Last Date: 2026-06-05
Eligibility Criteria
To be considered for this research fellowship, candidates must meet the following academic and experience requirements:
| Requirement | Details |
|---|---|
| Educational Qualification | M.E./M.Tech/M.S. and B.E./B.Tech in Geospatial Engineering, Geoinformatics, Remote Sensing & GIS, Computer Science, Data Science, Electrical Engineering, or related disciplines. |
| Academic Standard | Minimum 65% aggregate or a CGPA above 6.5 on a 10-point scale. |
| Experience | At least 2 years of post-Master's degree research or teaching experience with evidence of publications in standard refereed journals. |
Important Dates
- Notification Date: 2026-05-14
- Application Deadline: 2026-06-05
Selection Process
The selection process for this recruitment will be conducted through an online interview. Shortlisted candidates will be invited to participate in the interview, followed by document verification to confirm academic credentials and research experience.
How to Apply
Follow these steps to submit your application effectively:
- Visit the official IIT Roorkee careers portal.
- Carefully review the official notification PDF to ensure you meet all criteria.
- Prepare your updated CV, academic certificates, and proof of publications.
- Fill out the application form with accurate personal and educational data.
- Upload the required documents in the specified format.
- Submit the form before the deadline of 2026-06-05.
- Save a copy of your submitted application for your records.
Important Instructions
Candidates are advised to double-check their details before final submission to avoid disqualification. Ensure your research publications are from recognized, peer-reviewed journals, as this is a core requirement for the SRF role. Only online applications submitted via the official portal will be accepted.
Frequently Asked Questions (FAQs)
- 1. What is the monthly salary for the SRF post at IIT Roorkee?
- Selected candidates will receive a consolidated monthly stipend of Rs. 42,000.
- 2. Can candidates with a B.Tech degree alone apply?
- No, this position requires a combination of B.E./B.Tech and an M.E./M.Tech/M.S. degree, along with specific research experience.
- 3. Is there an application fee?
- Based on the notification, there is no application fee for this recruitment.
- 4. What is the final date to apply?
- The application portal closes on 2026-06-05.
- 5. How will the selection be conducted?
- The selection will be based on an online interview and verification of submitted academic documents.
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Sneha Patel is a certified career strategist specializing in government competitive examinations. With her background in Economics and Data Analysis, she provides data-driven insights on exam patterns, cut-off trends, and preparation strategies.