Junior Research Fellow (JRF) Recruitment 2026 at NIT Durgapur
INR 37,000 per month
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Junior Research Fellow (JRF) Recruitment 2026 at NIT Durgapur
The Department of Electrical Engineering, National Institute of Technology (NIT) Durgapur, invites applications from eligible Indian citizens for the position of Junior Research Fellow (JRF) under a DBT-funded research project. The project focuses on applying Artificial Intelligence and Deep Learning techniques for medical image analysis to support neuro-interventional procedures.
This is an excellent opportunity for candidates interested in Machine Learning, Deep Learning, Medical Image Processing, Artificial Intelligence, and Biomedical Signal & Image Analysis.
Organization Details
Particulars | Details |
|---|---|
Organization | National Institute of Technology (NIT) Durgapur |
Department | Electrical Engineering |
Funding Agency | Department of Biotechnology (DBT), Government of India |
Position | Junior Research Fellow (JRF) |
Number of Posts | 01 |
Location | Durgapur, West Bengal |
Advertisement Date | 26 May 2026 |
Project Details
Project Title
“Computer-aided Diagnostic Analysis of Intracranial Aneurysms from CTA/MRA Images for Neuro-Interventional Procedures”
The project aims to develop AI-driven diagnostic tools for analyzing medical imaging data, assisting clinicians in the diagnosis and treatment planning of intracranial aneurysms.
Position Details
Particulars | Details |
|---|---|
Post Name | Junior Research Fellow (JRF) |
Vacancy | 01 |
Fellowship | INR 37,000 per month |
Accommodation | As per institute norms |
Project Duration | Approximately 2 Years / Till Completion of Project |
Appointment Type | Temporary and Project-Based |
Essential Qualifications
Candidates must possess:
in:
Electrical Engineering
Electronics & Communication Engineering
Related disciplines
Academic Requirement
Minimum CGPA of 7.0 from a recognized Institute/University
Desirable Qualifications
Preference will be given to candidates having knowledge or experience in:
Image Processing
Machine Learning
Deep Learning
Artificial Intelligence
Medical Image Analysis
Computer Vision
Roles and Responsibilities
The selected candidate will:
Participate in fundamental and applied research related to the project
Develop AI and Deep Learning models for medical image analysis
Work collaboratively with researchers and partner institutions
Contribute to research publications and project deliverables
Assist in algorithm development and validation using CTA/MRA imaging data
Benefits
Opportunity to work on a DBT-funded healthcare AI project
Exposure to cutting-edge medical image processing research
Funding support for participation in:
National Conferences
International Conferences
Team Meetings and Research Collaborations
Research experience in interdisciplinary areas involving AI and healthcare
Application Process
Interested candidates should send their application along with:
Educational qualification details
Attested copies of mark sheets and certificates
Research experience details
Publication list (if any)
Statement of research interest
Email Application To
Subject Line
Mention the advertisement number:
Advt. No. NITD/AKD/EE/2026/05/01
Walk-in Interview Details
Date
12 June 2026
Time
11:30 AM
Venue
Department of Electrical Engineering
National Institute of Technology Durgapur
Mahatma Gandhi Avenue
Durgapur – 713209
West Bengal, India
Important Dates
Event | Date |
|---|---|
Last Date for Application Submission | 11 June 2026 |
Walk-in Interview | 12 June 2026 |
Interview Time | 11:30 AM |
Important Notes
The appointment is purely temporary and project-based.
Performance will be evaluated every six months.
The position does not confer any right to regular appointment at NIT Durgapur.
Candidates must bring original mark sheets, certificates, and supporting documents for verification during the interview.
Why Apply?
This position offers an exciting opportunity to work at the intersection of:
Artificial Intelligence
Deep Learning
Medical Imaging
Healthcare Technology
Computer Vision
Biomedical Engineering
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Candidates aspiring to pursue careers in AI Research, Medical Image Analysis, Machine Learning, Healthcare Informatics, and Doctoral Research are encouraged to apply.
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