- Essential Qualifications:
- M.Tech. or M.E. or equivalent degree in Biomedical Engineering, Electronics & Communication, Electrical Engineering, Instrumentation, or related fields. OR
- Four-year bachelor's degree OR five-year integrated degree in Biomedical Engineering, Electronics & Communication, Electrical Engineering, Instrumentation, or related fields. OR
- A five-year integrated degree in PG in Biotechnology, Biochemistry, Environmental Sciences/ and allied fields with a minimum of 60% marks.
- Candidates must have a valid NET-JRF/GATE/NET.
Central University of Rajasthan JRF Recruitment 2026 (1 Post)
Required Qualification
Important Dates
Published
Aug. 25, 2026
Starts
Aug. 25, 2026
Deadline
Sep. 15, 2026
Exam Date
TBA
More Jobs from Central University of Rajasthan
Job Analysis
AI-generated insights
Best-Fit Profile
This role is ideal for highly motivated candidates holding an M.Tech./M.E. or a 4/5-year integrated Bachelor's/PG degree in Biomedical Engineering, Electronics & Communication, Electrical Engineering, Instrumentation, Biotechnology, Biochemistry, or Environmental Sciences, with a minimum of 60% marks. A valid NET-JRF/GATE/NET qualification is mandatory. Candidates with a strong academic background in bioinformatics, programming (Python), deep learning frameworks (PyTorch, TensorFlow), and knowledge of anatomy, biomedical imaging, or computer vision will find this project highly suitable.
Important Considerations
Candidates who do not possess the specified essential educational qualifications and a valid NET-JRF/GATE/NET score should not apply. Individuals seeking a permanent government position should note that this is a purely time-bound research project, initially for one year, and not a permanent role. Those without a foundational understanding of deep learning or biomedical imaging will also face challenges.
Career Impact
Working as a Junior Research Fellow at the Central University of Rajasthan on a project funded by ANRF-ARG (Government of India) provides an excellent opportunity for significant research experience. The project, 'OvaDetect,' focuses on early-stage ovarian cancer detection using AI and medical imaging, offering valuable exposure to cutting-edge research in a high-impact area. While temporary, this position is a strong stepping stone for a career in academia or industry research in biomedical AI.
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.
Eligibility Criteria
Educational Qualification
Salary & Pay Scale
- Consolidated monthly compensation / Fellowship: Rs. 37,000 + HRA (as per ANRF rules)
How to Apply
Eligible and interested candidates must send their complete bio-data and copies of certificates/documents as a single PDF file via email to the Principal Investigator (PI), Dr. Manas Kumar Nag ([email protected]).
The subject of the email should be: “Application for the position of JRF under ANRF Project”.
The application must be submitted by 15th September 2026.
Shortlisted candidates will be called for an interview, which may be conducted in Offline mode with the external expert online.
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 candidates holding an M.Tech./M.E. or a 4/5-year integrated Bachelor's/PG degree in Biomedical Engineering, Electronics & Communication, Electrical Engineering, Instrumentation, Biotechnology, Biochemistry, or Environmental Sciences, with a minimum of 60% marks. A valid NET-JRF/GATE/NET qualification is mandatory. Candidates with a strong academic background in bioinformatics, programming (Python), deep learning frameworks (PyTorch, TensorFlow), and knowledge of anatomy, biomedical imaging, or computer vision will find this project highly suitable.
Important Considerations
Candidates who do not possess the specified essential educational qualifications and a valid NET-JRF/GATE/NET score should not apply. Individuals seeking a permanent government position should note that this is a purely time-bound research project, initially for one year, and not a permanent role. Those without a foundational understanding of deep learning or biomedical imaging will also face challenges.
Career Impact
Working as a Junior Research Fellow at the Central University of Rajasthan on a project funded by ANRF-ARG (Government of India) provides an excellent opportunity for significant research experience. The project, 'OvaDetect,' focuses on early-stage ovarian cancer detection using AI and medical imaging, offering valuable exposure to cutting-edge research in a high-impact area. While temporary, this position is a strong stepping stone for a career in academia or industry research in biomedical AI.
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.