IITGN Project Engineer SAMARTH Recruitment 2026

IITGN Project Engineer Recruitment 2026: Overview

Indian Institute of Technology Gandhinagar (IITGN) is hiring a Project Engineer in Modeling and Simulation for its Silicon and Advanced Semiconductor Manufacturing Research and Training Hub, known as SAMARTH. The role sits in Electrical Engineering under Prof. Nihar Ranjan Mohapatra and is a project appointment at Gandhinagar. SAMARTH brings research and workforce development together, with work involving faculty, researchers and industry partners.

Service Conditions and Caveats

• Initial tenure: The appointment lasts one year. An extension depends on satisfactory performance, so you should treat the initial offer as a fixed project engagement.
• Shortlisting: Meeting the minimum conditions does not guarantee that IITGN will shortlist or appoint you. The institute may use a higher cutoff when considering applications.
• Institute discretion: IITGN may decide against calling an applicant for a selection test. It may also leave the position unfilled in this round without giving a reason.
• Project setting: The work connects semiconductor research with technology development and industry collaboration under SAMARTH. Your contribution would form part of this programme rather than a separate general engineering appointment.

Application Submission Notes

The notice directs you to the IITGN project staff recruitment portal for the online application. Use the SAMARTH Modeling and Simulation advertisement to identify the relevant opening when applying.

For questions about this particular role, the notice names Prof. Nihar Ranjan Mohapatra as the contact at nihar@iitgn.ac.in.

Corrigenda and Notices

• Deadline extension: IITGN’s official staff openings page marks the original closing date as superseded and shows an extended deadline. The application deadline in this listing follows that newer entry rather than the date printed in the original advertisement.

• Research semiconductor process and device simulation for advanced CMOS, memory and power devices.
• Build TCAD simulation flows for fabrication steps such as lithography, etching and implantation.
• Assess device performance, reliability, variability and sensitivity to process changes.
• Develop physics-based, compact and data-driven models for process and device optimisation.
• Apply machine learning to improve semiconductor simulation and design methods.
• Maintain simulation software workflows and research databases with the SAMARTH team.
• Mentor students and research scholars working on simulation projects.
• Support research proposals, industry projects and technology transfer.