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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 available

Deadline

Jul 31, 2026

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Country

India

University

National Institute of Technology Karnataka

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Keywords

Computer Science
Data Science
Biomedical Engineering
Information Technology
Biology
Artificial Intelligence
Antibiotic Resistance
Medical Science
Explainable Ai
Healthcare Utilization
Statistics
Bioinformatic
Machine learning

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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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