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National Institute of Technology Karnataka
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Junior Research Fellow (Potential PhD Track) in Artificial Intelligence and Healthcare / Explainable AI for Antimicrobial Resistance National Institute of Technology Kurukshetra in India
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 31, 2026
Country
India
University
National Institute of Technology Karnataka

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About this position
Junior Research Fellow (JRF) opportunity at National Institute of Technology Kurukshetra under the ANRF PAIR Program (Spoke: NIT Kurukshetra | Hub: IIT Indore), with a potential PhD track.
The project is titled Semantic and Explainable AI Framework for Antimicrobial Resistance (NeSy-AMR). The research sits at the intersection of Artificial Intelligence, Machine Learning, Explainable AI, Neuro-symbolic AI, Knowledge Graphs, Bioinformatics, and healthcare analytics. The work aims to address the lack of transparency in black-box clinical AI by integrating genomic and clinical datasets with structured knowledge graphs using resources such as CARD, NCBI, and biomedical ontologies to build trustworthy decision-support tools for diagnostics and therapeutic discovery.
Eligibility: applicants should have a postgraduate degree in Computer Science / AI / Data Science / Bioinformatics or a relevant branch, with at least 60% marks or 6.5 CGPA (relaxation to 55% or 6.0 CGPA for SC/ST/PwD). Final-semester students who have submitted their thesis may also apply. CSIR/UGC-NET or GATE/GPAT qualification is desirable and exempts candidates from the written test.
Funding: ₹37,000 per month + HRA as per norms.
How to apply: review the detailed advertisement, download the application form, and submit the completed form with scanned certificates in a single PDF via the official Google Form. Deadline is 31 July 2026, 11:59 PM.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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