Postdoctoral Research Fellow

Mahindra University; Hyderabad; On-site; INR 500,000 - 750,000; Full time

Job summary

Mahindra University seeks a highly motivated Postdoctoral Research Fellow to work on a PMECRG-funded project developing high-fidelity computational and ML frameworks for double-diffusive convection. The role blends geophysical flows, HPC, and reduced-order modeling.

You will develop GPU-accelerated simulations, perform DNS/LES, and build ML-based ROMs, collaborating across fluid mechanics, numerical simulation, and data analysis. Strong CFD and HPC expertise is essential.

Qualifications

• Ph.D. in Aerospace Engineering/Mechanical Engineering/Applied Mathematics, or a closely related discipline.
• Strong background in computational fluid dynamics and numerical methods.
• Demonstrated research experience in computational modelling of fluid flows.
• Desirable: 1+ year post-Ph.D. experience in CFD.
• Desirable: experience with DNS or LES of complex flows.
• Proficiency in Modern Fortran and Python.
• Experience with Linux/Unix-based HPC environments.
• Exposure to parallel computing using MPI, OpenMP, and/or GPU computing.
• Experience with machine learning, reduced-order modelling, or data-driven methods.

Responsibilities

• Development of high-fidelity numerical simulations of salt-finger and double-diffusive convection
• Development and optimization of GPU-accelerated computational frameworks
• High-performance DNS and large-scale numerical simulations
• Development of machine-learning-based reduced-order models
• Analysis of multiscale flow and transport phenomena
• Integration of simulation data with ML/ROM frameworks
• Scientific software development, automation, and large-scale data analysis

Skills

CFD (computational fluid dynamics)

Numerical methods

Fortran

Python

DNS/LES

HPC

GPU computing

MPI/OpenMP

Machine learning

Reduced-order modeling

Education

PhD in Aerospace/Mechanical/Applied Math

Tools

MPI

OpenMP

Linux HPC environments

Job description

Postdoctoral Research Fellow

Research Positions

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: Geophysical flows (Double-diffusive convection: Salt-finger convection, Transport phenomena), High-Fidelity Computing, and Reduced-order modeling.

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

Key Responsibilities

• Development of high-fidelity numerical simulations of salt-finger and double-diffusive convection
• Development and optimization of GPU-accelerated computational frameworks
• 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

Eligibility Criteria

Essential

• Ph.D. in Aerospace Engineering/Mechanical Engineering/Applied Mathematics, or a closely related discipline
• Strong background in computational fluid dynamics and numerical methods
• Demonstrated research experience in computational modelling of fluid flows

Desirable

• At least 1 year of post-Ph.D. research experience in CFD
• Experience with DNS or LES of complex flows
• Strong understanding of turbulence and numerical methods
• Proficiency in Modern Fortran and Python
• Experience with Linux/Unix-based HPC environments
• Exposure to parallel computing using MPI, OpenMP, and/or GPU computing
• Experience with machine learning, reduced-order modelling, or data-driven methods
• Ability to work independently as well as collaboratively in a multidisciplinary research environment

Principal Investigator Dr. Manjul Sharma Assistant Professor Department of Mechanical & Aerospace Engineering Ecole Centrale School of Engineering Mahindra University, HyderabadWebsite: https://smanjul.com