- Junior Research Fellow (JRF): Candidates must hold an M.E./M.Tech. in Biomedical Engineering (BME), Information Technology (IT), Computer Science Engineering (CSE), Electronics and Communication Engineering (ECE) OR an MCA OR an M.Sc. in Computer Science/Electronics. Furthermore, selection must be through either:
- National Eligibility Tests such as CSIR-UGC NET and GATE.
- National-level examinations conducted by Central Government Departments and their Agencies and Institutions including DST, DBT, DAE, DOS, DRDO, MoE, ICAR, ICMR, IIT, IISc, IISER, NISER etc.
- Multi-Tasking Staff (MTS): A Graduate or Diploma in any stream is required.
Applications Closed
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NEHU DHR Recruitment 2026: 2 Junior Research Fellow & Multi-Tasking Staff Vacancies
Required Qualification
Important Dates
Published
May. 15, 2026
Starts
May. 15, 2026
Deadline
May. 24, 2026
Exam Date
May. 29, 2026
North Eastern Hill University
Job Analysis
AI-generated insights
Best-Fit Profile
This opportunity is ideal for postgraduates in specified engineering/computer science disciplines (JRF) with strong academic credentials like NET/GATE qualification, or any graduate/diploma holder (MTS), who are seeking temporary, project-based research exposure. Candidates must be interested in contributing to a significant government-funded research project focused on deep learning-based medical image analysis for lumbar spine disorders. It's suitable for individuals looking to gain valuable experience in a central university setting.
Important Considerations
Individuals seeking permanent government employment or positions with a high volume of vacancies should not apply, as these are temporary, project-specific roles. Those who do not meet the stringent academic qualifications for the JRF post (including the national eligibility test criteria) or the basic graduate/diploma requirement for MTS will not be suitable. This is not for those expecting long-term career progression directly within this project.
Career Impact
As a project funded by the Department of Health Research (DHR) under the Ministry of Health and Family Welfare, Government of India, and hosted by North-Eastern Hill University (NEHU), a Central University, this role offers exposure to a prestigious government research initiative. While the positions are co-terminus with the project, the experience gained in a specialized field like medical image analysis using deep learning, within a government-backed framework, can significantly enhance one's resume for future research or academic roles.
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
| Post Name | Remuneration |
|---|---|
| Junior Research Fellow (JRF) | ₹37,000/- per month + HRA (as per funding agency norms) |
| Multi-Tasking Staff (MTS) | ₹18,000/- per month |
The project staff will be engaged initially for a period of one year, extendable only till the duration of the project (3 years).
Vacancy Breakdown (Category-wise)
- Junior Research Fellow (JRF)01
- Multi-Tasking Staff (MTS)01
How to Apply
Interested candidates should email their CV/bio-data, photocopies of certificates, mark sheets, and evidence of any other academic credentials to [email protected]. Additionally, candidates must fill out the required Google Form for their respective post:
- Junior Research Fellow: https://forms.gle/Rvqxgs61DwJ1B1xWA
- Multi-Tasking Staff: https://forms.gle/ZUAakWi9eGsDr4of8
Original certificates/mark sheets and other claims must be produced at the time of the interview.
Official Links
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Similar M.Tech Opportunities
Job Analysis
AI-generated insights
Best-Fit Profile
This opportunity is ideal for postgraduates in specified engineering/computer science disciplines (JRF) with strong academic credentials like NET/GATE qualification, or any graduate/diploma holder (MTS), who are seeking temporary, project-based research exposure. Candidates must be interested in contributing to a significant government-funded research project focused on deep learning-based medical image analysis for lumbar spine disorders. It's suitable for individuals looking to gain valuable experience in a central university setting.
Important Considerations
Individuals seeking permanent government employment or positions with a high volume of vacancies should not apply, as these are temporary, project-specific roles. Those who do not meet the stringent academic qualifications for the JRF post (including the national eligibility test criteria) or the basic graduate/diploma requirement for MTS will not be suitable. This is not for those expecting long-term career progression directly within this project.
Career Impact
As a project funded by the Department of Health Research (DHR) under the Ministry of Health and Family Welfare, Government of India, and hosted by North-Eastern Hill University (NEHU), a Central University, this role offers exposure to a prestigious government research initiative. While the positions are co-terminus with the project, the experience gained in a specialized field like medical image analysis using deep learning, within a government-backed framework, can significantly enhance one's resume for future research or academic roles.
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
72h Deadline Tracker
Free ExtensionNever miss closing dates on SSC & UPSC portals • Real-time alerts & zero fake 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.