Junior Project Research Fellow

0 - 3 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Junior Research Fellow in the field of Artificial Intelligence and Machine Learning at NIT Raipur, you will be part of a project titled "Development of Responsible Artificial Intelligence for Bias Mitigation in Health Care Systems" sponsored by The Ministry of Electronics & Information Technology (MeitY), Govt. of India. Your role will involve contributing to the research area of Artificial Intelligence and Machine Learning, with a focus on bias mitigation in health care systems. The position offers a consolidated monthly fellowship of Rs.37,000/- per month along with HRA. To be eligible for this position, you should hold a B.Tech./B.E. degree in Computer Science & Engineering (CSE) or a related branch, with GATE qualification. Alternatively, candidates with a B.E./B.Tech. and M.E./MTech. in Computer Science & Engineering/Information Technology/EE/ETE/Data Science/AI/ML or relevant branches, or MCA/MSc in Computer Science/IT from an Institute of National Importance/AICTE-approved University/Institution with a minimum of 65% marks or 7.0 CGPA are also encouraged to apply. Preference will be given to candidates with GATE/NET qualification. Desirable qualifications for this position include strong knowledge and hands-on experience in Machine Learning, Deep Learning, Web technologies, and Python. To apply for this position, please fill out the Google Form (https://forms.gle/Ftrdh2t7D9E5pER96) with all your academic and professional details. During the walk-in interview scheduled for 04th August 2025, from 11.00 AM onwards at the Department of Computer Science & Engineering, NIT Raipur, please bring the printed application form along with self-attested copies of required documents such as DOB certificate, degree/provisional certificate, mark sheets, NET/GATE scorecard, caste certificate, NOC, and other relevant documents. Original documents must be presented for verification during the interview process. This position is initially available until 31st December 2025, with the possibility of extension for an additional two years based on your satisfactory performance and the project's duration.,

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