IITGN Post Doctoral Fellow Quantum ML Recruitment 2026

IITGN Post Doctoral Fellow Recruitment 2026: Overview

Indian Institute of Technology Gandhinagar (IITGN) is recruiting a Post-Doctoral Fellow for the project “Development of Quantum Machine Learning use cases and applications” in Computer Science and Engineering. Professor Sameer Kulkarni leads this Ministry of Electronics and Information Technology (MeitY) sponsored project at Gandhinagar. The work focuses on quantum machine learning for intrusion, spam and malware detection, giving the appointment a specific security research direction.

Service Conditions and Caveats

• Project engagement: This is a temporary appointment tied to a sponsored research project. The appointment lasts for one year or until the project ends, whichever comes first; you should read the project end condition together with the stated appointment period.
• Funding framework: The advertisement identifies funding-agency norms as the applicable framework for this engagement. It is issued through IITGN's Research and Development Office for the named project in Computer Science and Engineering.
• Shortlisting: Meeting the minimum conditions does not guarantee that you will be shortlisted or appointed. IITGN may use a higher cutoff when considering applications, so satisfying the baseline conditions is only the starting point for consideration.
• Further assessment: The institute reserves the right not to call an applicant for a selection test. The notice does not set out a test pattern or a fixed sequence of assessment stages for this recruitment.
• Appointment decision: IITGN may leave the position unfilled in this round without giving a reason. Applying through the stated route therefore does not create an assurance that the institute will make an appointment.

• Design quantum machine learning algorithms for the sponsored project.
• Develop quantum machine learning models for the stated use cases.
• Target intrusion detection with the project algorithms and models.
• Address spam detection within the quantum machine learning work.
• Develop approaches targeting malware detection.