IIT BHU JRF CSE Recruitment 2026

IIT BHU JRF CSE Recruitment 2026: Overview

Indian Institute of Technology (BHU) Varanasi is appointing a Junior Research Fellow in Computer Science and Engineering for the project "Privacy-preserving Federated Fraud Detection in Finance." The work is supported through a DST INSPIRE Faculty Fellowship research grant and places the fellow at the meeting point of machine learning, data privacy and financial-fraud analysis. The project is designed around collaborative models that learn without pooling every participant's raw data in one place.

The research topic is especially relevant to finance, where institutions need to identify suspicious patterns while protecting sensitive customer records. Your work may involve designing federated-learning experiments, preparing synthetic data, comparing privacy-aware approaches and explaining why a model produces a particular result. Model explainability and synthetic-data generation are highlighted in the notice, making this role a good fit for someone who wants applied research beyond routine software development.

The broader sponsored project has a five-year research horizon, giving the team room to move from early prototypes to careful evaluation. A fellow joining at the start can help shape data pipelines, experimental baselines and privacy tests, then compare how the models behave across changing fraud patterns and participating institutions.

The fellow will work with the principal investigator in the Department of Computer Science and Engineering at IIT (BHU), Varanasi. The project environment offers room to build a research profile through experiments, technical documentation and publications. The notice also says the selected candidate may get an opportunity to pursue a PhD in Computer Science and Engineering while serving on the project, subject to the institute's admission rules.

Service Conditions and Caveats

• Nature of appointment: The post is purely temporary and co-terminus with the sponsored project.
• Appointment cycle: The planned fellowship period is three years; the first appointment is for one year and further continuation depends on performance.
• Shortlisting: The principal investigator may limit the interview list after reviewing qualifications and experience.
• Communication: Only shortlisted candidates will receive interview information by email.
• Interview expenses: No TA or DA will be paid for attending the interview.
• Verification: Original certificates and self-attested copies must be presented before the interview.

Application Submission Notes

Combine the prescribed application form and supporting records into one PDF file and email it to hkasyap.cse@iitbhu.ac.in. Use "Application for JRF-Federated Fraud Detection" as the subject line. You must also complete the Google Form linked in the notice; completing only the email or only the form would leave the application incomplete.

• Design privacy-preserving federated-learning methods for financial fraud detection
• Prepare and evaluate synthetic datasets for controlled machine-learning experiments
• Implement models using suitable programming and machine-learning tools
• Measure model accuracy, privacy, robustness, and explainability
• Document experimental methods, results, and reproducible research workflows
• Prepare technical reports, research papers, and project presentations
• Support project reviews and coordinate research tasks with the principal investigator