Apply Now: IIT Ropar Seeks Project Research Scientist in AI & Tech

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Are you passionate about research in the field of healthcare and technology? IIT Ropar is inviting applications for the position of Project Research Scientist I (Non Medical) to work on an exciting ICMR project. This opportunity is perfect for individuals with a strong background in Computer Science, Artificial Intelligence, Data Science, or Information Technology. Read on to discover more about this prestigious role and how you can apply.

Description

The Indian Institute of Technology Ropar is seeking a dedicated Project Research Scientist I (Non Medical) to contribute to the ICMR project titled “Investigative Centre of Advanced Research in Endotypes of T1D (i-CARE-T1D): A national referral centre for research in T1D.” This project aims to advance research in Type 1 Diabetes under the guidance of Dr. Sukrit Gupta and Prof. Navin Kumar. The role involves research and development in deep learning applications within healthcare, focusing on biomedical data analysis and medical image analysis.

Position

  • Project Research Scientist I (Non Medical)

Eligibility

• B.E./B.Tech in the domains of Computer Science/Artificial Intelligence/Data Science/Information Technology from a recognized university/institute, with first class (minimum 75% marks or 7.5 CGPA). For B.E./B.Tech holders, valid GATE gualification is reguired unless the degree was awarded by a Centrally Funded Technical Institute (CFTI) with a CGPA of at least 7.5/10 or 75% aggregate marks at graduation; or

• M.Tech/M.E. in the domains of Computer Science/Applied Mathematics and Scientific Computing/Artificial Intelligence/Data Science/Information Technology from a recognized university/institute, with first class (minimum 60% marks or 6.0 CGPA). Candidates holding an M.Tech or M.E. degree are NOT reguired to have a valid GATE gualification; or

• M.Sc. in Data Science and Management or Data Analytics or other relevant disciplines can also apply. Valid GATE gualification is reguired.

• The selected candidate shall be expected to enroll as a full-time, self-sponsored PhD student at NT Ropar in the relevant department upon joining. Admission to the PhD program will follow NT Ropar regulations for self-financed candidates and departmental shortlisting criteria, including written test/interview. No financial support for PhD tuition/registration will be provided by the project or the institute; consolidated salary and benefits will be paid solely from the ICMR CAR project grant.

Minimum Monthly Remuneration

  • Rs. 56,000 + HRA

How to Apply

Interested candidates should fill out the Google Form available at  https://forms.qle/BCRp5w3mqQLQw5K9A Shortlisted candidates will be notified via email by April 10, 2026, to participate in an online interview. The interview date will also be communicated on April 10, 2026. Candidates currently employed must send their applications through the proper channel with a No Objection Certificate (NOC) from their employer.

Important Date

The deadline for application submission is April 14, 2026.

Job Location

Research & Development Section, Indian Institute of Technology Ropar ,Rupnngar. Punjab -140001


For Additional Information

For more details about this job position, please refer to the official notification available on the IIT Ropar website or contact Dr. Sukrit Gupta, Department of Biomedical Engineering, IIT Ropar.

Reference: https://iitrpr.ac.in/mainwebsite-api/uploads/advertisements/projects/1774880147459-AD-01_Application_Form.pdf

  Ph. 01881-231151,

Email: admin.rnd@iitrpr.ac.in

Highlights

This is a unique opportunity to work on a cutting-edge research project in the field of healthcare technology. The role offers a competitive salary and the chance to contribute to significant advancements in Type 1 Diabetes research.

🔖 Post Expires on 15th May 2026


In conclusion, this role at IIT Ropar offers a remarkable opportunity for individuals eager to make a difference in the field of healthcare technology. With a focus on deep learning and biomedical data analysis, this position is ideal for those looking to advance their research careers in a prestigious institution.

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