IITGN Postdoctoral Fellow Civil Recruitment 2026

IITGN Postdoctoral Fellow Civil Recruitment 2026: Overview

Indian Institute of Technology Gandhinagar (IITGN) is hiring a Post-Doctoral Fellow in Civil Engineering for a research project led by Prof. Udit Bhatia. Based at Gandhinagar, the project brings together flood modelling, water systems, infrastructure and adaptation, with Indian urban and peri-urban case studies providing the setting for the research.

Climate-resilient water systems are a central theme: the project connects physical models with data-driven approaches and considers how flood interventions perform as conditions change. You would join an interdisciplinary research setting that connects engineering analysis with questions about adaptation, infrastructure resilience and the socio-economic effects of flood responses.

Service Conditions and Caveats

• Initial tenure: The appointment is for one year. An extension depends on satisfactory performance, so continued engagement beyond that period is conditional.
• Project appointment: The notice describes a temporary fellowship under the institute’s Research and Development Office. Your engagement is tied to this research appointment and the Civil Engineering project led by Prof. Udit Bhatia.
• Institute norms: The advertisement identifies institute norms as the basis for this appointment. Keep those terms in mind when considering the fellowship and any later offer.
• Shortlisting discretion: Meeting the stated minimum requirements does not guarantee shortlisting or appointment. IITGN may apply a higher cutoff when deciding which applications to consider further.
• Unfilled appointment: The institute can choose not to call an applicant for assessment or not to fill the position through this round. It reserves that choice without having to give a reason, so you should not treat an application as confirmation of a place.

• Develop hydrological and hydrodynamic models for urban drainage, rainfall-runoff and flood depths.
• Connect detailed MIKE+ and HEC-RAS simulations with efficient, interpretable models.
• Evaluate flood-mitigation and infrastructure-management strategies under uncertain conditions.
• Explore physics-guided and data-driven methods for flood prediction and adaptation.
• Analyse geospatial, hydrometeorological, remote-sensing and infrastructure datasets for Indian case studies.
• Publish research, contribute to project outputs and collaborate with students and research partners.