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National Institute of Technology Delhi, 2026, 1 Vacancy for Junior Research Fellow
Required Qualification
Important Dates
Published
May. 7, 2026
Starts
May. 7, 2026
Deadline
May. 30, 2026
Exam Date
TBA
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Job Analysis
AI-generated insights
Best-Fit Profile
This role is ideal for highly motivated and eligible candidates holding M.Tech/M.E./M.S. (by Research) or B.Tech/B.E. degrees in Computer Science & Engineering, IT, or ECE, with a strong academic record (minimum 6.5 CGPA/60% marks for PG or 7.5 CGPA for UG) and a valid GATE/NET qualification. Candidates with desirable experience in Image Processing, Computer Vision, Machine Learning, Deep Learning, and Python programming skills will be highly preferred. This position is particularly suitable for individuals aspiring to pursue a Ph.D. at NIT Delhi, as the selected candidate will be encouraged to register for the Ph.D. program.
Important Considerations
Candidates who do not meet the essential educational qualifications (specified engineering degrees with minimum CGPA/marks) or lack a valid GATE/NET qualification should not apply. Individuals seeking permanent government employment will find this purely contractual, project-based, and temporary position unsuitable. Those without a strong background in the desirable technical areas or Python programming might struggle.
Career Impact
Working as a Junior Research Fellow at the National Institute of Technology Delhi, an autonomous institute under the Ministry of Education, Government of India, offers significant prestige. This position provides an excellent opportunity to engage in cutting-edge research under a DST-funded project titled 'Empowering Communication: Video Captioning of Indian Sign Language'. It offers valuable research experience and a clear pathway for academic growth, including potential Ph.D. registration, within a reputable academic environment.
Note: This is a helpful, AI-generated overview designed to save you time. Always refer to the official PDF notification for complete and final details.
About National Institute of Technology Delhi
Job Posts
Eligibility Criteria
Educational Qualification
- For M.Tech./M.E./M.S. (by Research) or equivalent: A postgraduate degree in Computer Science & Engineering/IT/ECE/ or a relevant branch with a minimum of 6.5 CGPA or 60% marks, along with GATE/NET qualification.
- For B.Tech./B.E.: A degree in Computer Science & Engineering/IT/ECE/ or a relevant branch with a minimum CGPA of 7.5 (on a 10-point scale) and a valid GATE.
Age Limit Details
The maximum age limit is 32 years as on the closing date of the application. Age relaxation will be provided as per Government of India (GOI) norms.
Salary & Pay Scale
Candidates will receive a fellowship of ₹37,000/- per month, in addition to House Rent Allowance (HRA) as per DST (Department of Science & Technology) Norms.
How to Apply
- Completely fill out the application form (Annexure-I, attached in the PDF).
- Fill out the Google Form using the link: https://forms.gle/gaP6ZkCVqZHKREbc8. Upload a single PDF copy of the filled application form along with all required documents to the Google Form.
- Prepare a detailed Curriculum Vitae (CV) including particulars of prior research experience and publications, if any.
- Attach self-attested copies of all relevant certificates and documents.
- Compile all documents into a single PDF file.
- Send this single PDF file via email to Dr. Anurag Singh at [email protected], with the subject line “Application for JRF Position”.
- The last date for receiving applications is May 30, 2026. Candidates should ensure all submissions are completed on or before this date.
Official Links
Prepare Your Application Documents
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Similar M.Tech Opportunities
Job Analysis
AI-generated insights
Best-Fit Profile
This role is ideal for highly motivated and eligible candidates holding M.Tech/M.E./M.S. (by Research) or B.Tech/B.E. degrees in Computer Science & Engineering, IT, or ECE, with a strong academic record (minimum 6.5 CGPA/60% marks for PG or 7.5 CGPA for UG) and a valid GATE/NET qualification. Candidates with desirable experience in Image Processing, Computer Vision, Machine Learning, Deep Learning, and Python programming skills will be highly preferred. This position is particularly suitable for individuals aspiring to pursue a Ph.D. at NIT Delhi, as the selected candidate will be encouraged to register for the Ph.D. program.
Important Considerations
Candidates who do not meet the essential educational qualifications (specified engineering degrees with minimum CGPA/marks) or lack a valid GATE/NET qualification should not apply. Individuals seeking permanent government employment will find this purely contractual, project-based, and temporary position unsuitable. Those without a strong background in the desirable technical areas or Python programming might struggle.
Career Impact
Working as a Junior Research Fellow at the National Institute of Technology Delhi, an autonomous institute under the Ministry of Education, Government of India, offers significant prestige. This position provides an excellent opportunity to engage in cutting-edge research under a DST-funded project titled 'Empowering Communication: Video Captioning of Indian Sign Language'. It offers valuable research experience and a clear pathway for academic growth, including potential Ph.D. registration, within a reputable academic environment.
Note: This is a helpful, AI-generated overview designed to save you time. Always refer to the official PDF notification for complete and final details.
Official Links
Prepare Your Application Documents
🔒 100% Secure & In-Browser: Filling out the application form? Use these free utilities to easily format and compress your uploads. All tools process files locally in your browser—nothing is ever uploaded to our servers.
Smart Image Resizer
Compress photo/signature to exact KB limits (e.g. 20-50KB) for SSC, UPSC.
Passport Photo Maker
Crop and tile photos into printable A4 or 4x6 sheet grids.
Signature Extractor
Remove gray shadows & shadows from signature photos.
Image to PDF Combiner
Merge multiple marksheets/certificates into a single lightweight PDF.
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