Postdoctoral Research Fellow

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
  
  

How To Apply

Interested candidates are invited to submit the following documents directly to PI at ([Confidential Information]):

• Latest CV
• List of publications
• Brief statement of research interests
• Contact details of 2 referees
  
  

Principal Investigator

Dr. Manjul Sharma

Assistant Professor

Department of Mechanical & Aerospace Engineering

Ecole Centrale School of Engineering

Mahindra University, Hyderabad

Website: https://smanjul.com