We are seeking a highly motivated Postdoctoral Research Fellow to work on ANRF (PMECRG) funded project on the development of high-fidelity computational and machine-learning frameworks for double-diffusive and salt-finger convection .

The research will combine: The position offers an opportunity to work at the intersection of fluid mechanics, numerical simulation, HPC, and machine learning .

High-performance DNS and large-scale numerical simulations

Development of machine-learning-based reduced-order models

Analysis of complex multiscale flow and transport phenomena

Integration of simulation data with ML/ROM frameworks

Scientific software development, automation, and large-scale data analysis

D. in Aerospace Engineering/Mechanical Engineering/Applied Mathematics, or a closely related discipline





Demonstrated research experience in computational modelling of fluid flows

D. research experience in CFD

Experience with DNS or LES of complex flows

Proficiency in Up-to-date Fortran and Python

Experience with Linux/Unix-based HPC environments

Experience with machine learning, reduced-order modelling, or data-driven methods

Ability to work independently as well as collaboratively in a multidisciplinary research environment

Brief statement of research interests

Department of Mechanical & Aerospace Engineering

Mahindra University, Hyderabad

Website:

📌 Postdoctoral Research Associate in Mathematics (Secunderabad)
🏢 Mahindra University || Centre for Life Sciences
📍 Secunderabad