IITGN JRF Quantum ML Recruitment 2026

IITGN Junior Research Fellow Recruitment 2026: Overview

Indian Institute of Technology Gandhinagar (IITGN) is recruiting a Junior Research Fellow through its Research and Development Office for a MeitY-sponsored project in the Department of Computer Science and Engineering. The project focuses on developing practical Quantum Machine Learning use cases, with particular attention to algorithms and models that can spot intrusion, spam and malware. This is a project-linked research role rather than a regular institute appointment, so your work will be shaped by the technical milestones and research direction set by the principal investigator.

The assignment brings together machine learning, cybersecurity and quantum computing instead of treating them as separate topics. You would be expected to turn research ideas into code, test models against relevant problems and help build evidence that the proposed methods work in practice. The notice gives preference to applicants who are comfortable moving between data analysis, software development and research writing, making the role a better fit for hands-on researchers than for candidates seeking a purely theoretical fellowship.

Service Conditions and Caveats

• Project tenure: The appointment is fixed for the stated project period and is tied to the sponsored work; it does not create a claim to a permanent IITGN position.
• Funding norms: The fellowship follows the sponsoring agency's norms rather than the institute's general staffing rules.
• Shortlisting: Meeting the baseline academic conditions does not guarantee a call. IITGN may use a higher cutoff when the applicant pool is strong.
• Selection flexibility: The institute may decide whether to hold a selection test and may leave the position unfilled if no applicant matches the project's needs.
• Technical environment: The work may involve Python-based machine-learning libraries, cloud or local deployment, databases and quantum-development platforms such as Qiskit or PennyLane.
• Research workflow: The fellowship is built around iterative development rather than a single finished product. You should be ready to refine algorithms after testing, investigate why a model succeeds or fails, and keep enough technical detail for another researcher to reproduce the result.
• Cybersecurity context: Intrusion, spam and malware detection produce different data and evaluation challenges, so the project's use cases may demand careful feature design, error analysis and comparison across multiple modelling approaches.
• Research ownership: You will work under Prof. Sameer Kulkarni and should be ready to document experiments, compare model performance and contribute to research papers.
• Interdisciplinary scope: A background that connects computing with electrical, electronics, artificial intelligence or data science is useful because the project crosses conventional department boundaries.
• Communication: Research questions about the assignment can be sent to sameergk@iitgn.ac.in; use this address for clarification, while the application itself belongs on the institute portal.

• Design quantum machine-learning algorithms for intrusion, spam and malware detection
• Develop and test research code using Python and relevant machine-learning libraries
• Compare model performance and record experimental results clearly
• Prepare datasets and carry out data analysis for project use cases
• Deploy prototype models on suitable cloud or local computing environments
• Maintain reproducible code, experiment logs and technical documentation
• Support research papers, presentations and project progress reports