IIT Guwahati Senior Research Fellow (SRF) Recruitment 2026
Indian Institute of Technology Guwahati — Research and Development
📅 Important Dates
| Last Date to Apply | 05 Aug 2026 |
|---|---|
| Interview Date | 07 Aug 2026 |
📋 Vacancy Details
| Post Name | Senior Research Fellow (SRF) |
|---|---|
| Total Vacancies | 1 |
| Qualification | Post Graduate in Basic Science or Graduate/Post Graduate in Professional Course with NET/GATE/National level exam + 2 years research experience in deep learning for computer vision. |
| Salary | Rs. 51,650 per month |
| Selection Process | Online Interview |
📝 Detailed Notification Information
Overview of IIT Guwahati Senior Research Fellow Recruitment 2026
The Indian Institute of Technology Guwahati (IIT Guwahati) has released the recruitment notification for one Senior Research Fellow (SRF-Direct) position. This role is contractual, focusing on the development of deep learning algorithms for real-time computer vision applications.
Eligibility Criteria for SRF Position
Candidates must possess a Post Graduate degree in Basic Science, or a Graduate/Post Graduate Degree in a Professional Course. Additionally, candidates must have qualified in a national-level examination, such as CSIR-UGC NET (including lectureship) or GATE. Candidates who have cleared national-level exams conducted by DST, DBT, DAE, DoS, DRDO, MHRD, ICAR, ICMR, IISc, or IISCR are also eligible.
Essential Experience: Two years of proven research experience in the domain of deep learning algorithms for real-time computer vision.
Vacancy and Compensation
| Post Name | Vacancies | Monthly Salary |
|---|---|---|
| Senior Research Fellow (SRF) | 1 | Rs. 51,650 |
Important Recruitment Dates
| Event | Date |
|---|---|
| Application Deadline | 2026-08-05 |
| Walk-in Interview | 2026-08-07 |
Steps to Apply for IIT Guwahati SRF Recruitment
- Visit the official IIT Guwahati recruitment portal.
- Review the full notification to ensure compliance with all educational and experience criteria.
- Complete the online application form by providing accurate academic and professional details.
- Upload all necessary certificates, photographs, and identity documents in the required format.
- Submit the application and retain a copy of the final submission for future verification.
Warning: Ensure that all contact information provided is active and reachable, as further communication regarding the interview schedule will be sent to the registered email or contact number.
Frequently Asked Questions
Q: What is the primary focus of this research position?
A: The SRF will be responsible for developing deep learning algorithms specifically for real-time computer vision tasks.
Q: Is there an offline application option?
A: No, applications must be submitted via the online portal provided by IIT Guwahati.
📝 How to Apply
📚 Preparation Strategy for Indian Institute of Technology Guwahati
Securing a government position under Indian Institute of Technology Guwahati requires a disciplined and strategic approach. Candidates with Post Graduate in Basic Science or Graduate/Post Graduate in Professional Course with NET/GATE/National level exam + 2 years research experience in deep learning for computer vision. qualifications should focus on the following:
- Analyze Syllabus & Pattern: Thoroughly review the official Indian Institute of Technology Guwahati exam syllabus. Understand the marking scheme, sectional cutoffs, and whether negative marking applies.
- Practice Previous Papers: Solving past Indian Institute of Technology Guwahati exam papers and taking timed mock tests is the most effective way to improve speed and accuracy.
- Time Management: Dedicate fixed study hours for quantitative aptitude, logical reasoning, general awareness, and language tests based on the weightage of marks in the Senior Research Fellow (SRF) examination.
⚠️ Safe Application Checklist
To avoid fraud and secure your candidature for the Senior Research Fellow (SRF) position, always complete the following checks before submitting your application:
- Verify Official Domains: Ensure you apply only on official government portals. Check that the website URL ends in
.gov.in,.nic.in, or.ac.in. - Read PDF Notification: Always download and thoroughly read the official Indian Institute of Technology Guwahati notification PDF to check specific eligibility details, reservations, and document formats.
- Beware of Agents: Government recruitments by Indian Institute of Technology Guwahati are strictly based on merit. Never pay money to unauthorized agents promising guaranteed jobs.
How can I confirm if this Indian Institute of Technology Guwahati job posting is genuine?
Every job notification listed on ApplySarkariJob.com is cross-verified with official government gazettes, department portals, and national employment newspapers. We provide direct links to the official Indian Institute of Technology Guwahati website and the original notification PDF in the "Source/Official Links" section above. Candidates are strongly advised to verify all information on the official portal before applying for the Senior Research Fellow (SRF) post.
What should I do if the official application link or PDF does not open?
Indian Institute of Technology Guwahati portals often experience extremely high traffic when notifications are released or close to the deadline, causing official servers to slow down or crash. If a link or official PDF is unresponsive, please try accessing it during off-peak hours (early morning or late night) or check your internet connection.
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What qualifications do I need for this Indian Institute of Technology Guwahati recruitment?
The educational qualification required for this recruitment is: Post Graduate in Basic Science or Graduate/Post Graduate in Professional Course with NET/GATE/National level exam + 2 years research experience in deep learning for computer vision.. Please always refer to the official notification PDF linked in the "Source/Official Links" section above for the most accurate and complete eligibility criteria, including age limits, experience requirements, and category-specific relaxations.
🔗 Source/Official Links
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