Researcher: Modelling and Simulations

The focus is set on modelling and simulations for engineering systems which falls in fluids/solids/thermal domains.

• You ll model and simulate mechanical systems accurately to reduce computational cost.
• You'll derive and implement strategy to simulate 1D/2D/3D multi-physics models, e. g fluid dynamics and/or structural mechanics, using numerical simulations, scripting and programming.
• Furthermore, you'lll combine physics-based models with data-based AI/ML approaches which is popularly known as Scientific machine Learning( SciML).
• You will work in international teams and perform necessary development / implementation to accomplish the tasks.
• Publish research findings in reputable journals and conferences.

Required skills:

• Proficient in Mathematics with solid engineering background.
• Sound fundamentals of partial differential equations and Linear Algebra.
• Sound fundamentals of numerical methods for modelling and simulation.
• Knowledge in computational fluid dynamics (CFD) and or structural mechanics.
• Knowledge of Scientific Machine Learning (SciML) methods like physics informed machine learning, operator learning, system identification.
• Excellent programming skills in Python and C++.
• Excellent presentation and communication skills.

Preferable skills:

• Familiarity with simulation tools: OpenFOAM and/or Comsol will be an added advantage.
• Familiarity with high performance computing will be an added advantage.