What happens next
- Applications closed — 15 Sep 2026
NITRR Biomedical Research Scientist Recruitment 2026
National Institute of Technology Raipur (NIT Raipur) - Department of Biomedical Engineering
Published Source: Official Notification Report an error
Vacancy
1
Salary
₹56,000 - ₹56,000
Job Type
Contract
Full time
Apply By
15 Sep 2026
This recruitment closed on 15 Sep 2026
Applications are no longer being accepted for NITRR Biomedical Research Scientist Recruitment 2026. Applications are closed. Browse related open jobs below.
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About This Job
Apply for 1 Biomedical Research Scientist post in NITRR. Relevant postgraduate degree with 60% eligible. Salary: Rs 56,000. Last date: 15 September 2026.
NITRR Biomedical Research Scientist Recruitment 2026: Overview
National Institute of Technology Raipur (NIT Raipur) is hiring a Project Research Scientist I (Non-Medical) in its Department of Biomedical Engineering for an Indian Council of Medical Research small-grant project. The project, titled A Digital Twin Approach for Personalized Assessment of Knee Osteoarthritis, brings biomechanics and artificial intelligence together to build patient-specific tools for studying knee health. This is a project appointment for a researcher who wants to work across engineering analysis, motion data and clinically relevant validation.
The research is centred on a digital twin: a computational representation that combines biomechanical models with data-driven AI methods. You would help connect experimental and clinical data to those models so the team can test whether its framework reflects real movement and joint behaviour. Motion-capture processing, musculoskeletal modelling and machine learning therefore need to fit into one consistent research workflow rather than being treated as separate tasks.
The post sits within Biomedical Engineering, but its academic base also includes mechanical engineering. A strong biomechanics foundation and working knowledge of OpenSIM are particularly relevant to the project, while experience with AI, machine learning or deep learning will help with the data-driven side of the digital twin. A researcher who can explain modelling choices, keep reproducible records and work with both experimental and clinical inputs will be well placed for this assignment.
Service Conditions and Caveats
- Project tenure: The appointment is initially for one year and may continue according to your performance and the availability of project funds.
- Review: Continuation is subject to satisfactory performance, with a review after every four months.
- Project linkage: The appointment is purely temporary and ends with the project. It is governed by the funding agency's conditions and NIT Raipur's applicable rules.
- Interview expenses: NIT Raipur will not pay TA or DA for appearing in the interview.
- Accuracy of claims: You are responsible for the authenticity of the information, records and photograph supplied with your application.
- Institutional decision: The selection committee's decision is final in case of a discrepancy, and the Institute may cancel the recruitment without giving a reason.
Application Submission Notes
Email the filled application form and supporting material to sgiri.bme@nitrr.ac.in. Your message should contain the current form for the Project Research Scientist I (Non-Medical) post and enough supporting evidence for the Institute to check the academic and research details entered in it. There is no separate application portal link in the notice.
For a query about the project or application, the notice names Dr Shivangi Giri, Principal Investigator, as the contact person. Keep a copy of the sent email and attachments so you can refer to exactly what the selection team received.
Responsibilities
- Develop digital twin models that combine biomechanics with artificial intelligence
- Collect motion-capture data using the project's experimental workflow
- Process motion data for biomechanical and musculoskeletal analysis
- Integrate biomechanical models with data-driven AI frameworks
- Validate digital twin models against experimental and clinical data
- Use OpenSIM and related tools for musculoskeletal modelling
- Document methods, datasets, model decisions and validation results
Eligibility Criteria
Minimum Qualification
Postgraduate degree with at least 60% marks or equivalent grade in Biomedical Engineering, Mechanical Engineering or a related field
Preferred Qualification
PhD in Biomedical Engineering, Mechanical Engineering or a related field
Required Skills
Biomechanics, musculoskeletal modelling, OpenSIM, artificial intelligence, machine learning, deep learning, motion-capture data collection and data processing
Age Limit
18 - 35 years
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Salary & Compensation
Pay Scale
Rs. 56,000 plus 20% HRA per month
Allowances
20% House Rent Allowance
Selection Process
- 1 Interview
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: Online
Required Documents:
- Completed application form
- Curriculum vitae
- Mark sheets and academic certificates
- Relevant supporting certificates and documents
- Recent photograph
- Proof of research experience, if claimed
- First page of journal or conference papers, if claimed
- GATE or CSIR-UGC NET proof, if applicable
Frequently Asked Questions
Email your complete application by 15 September 2026. The interview is scheduled for 21 September 2026 for candidates found eligible.
You need a relevant postgraduate degree with at least 60% marks or equivalent grade in Biomedical Engineering, Mechanical Engineering or a related field. A relevant PhD is preferred.
Send the filled form, CV and supporting records by email to sgiri.bme@nitrr.ac.in before the deadline. The notice does not provide a separate online form.
The post pays Rs. 56,000 per month plus 20% HRA, subject to the project and Institute conditions.
Eligible applicants will be considered through an offline or online interview on 21 September 2026 by the Department of Biomedical Engineering.
Important Dates
Notification
31 Aug 2026
Application Start
31 Aug 2026
Last Date to Apply
15 Sep 2026
Job Locations
Categories
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