Researcher - Modelling and Simulations

For this role, the focus is set on machine learning applied to solving engineering systems which falls in the domains of fluids/solids/thermal in mechanical engineering.

• You ll be part of our team and model mechanical systems accurately and reduce computational cost.
• You will simulate 1D/2D/3D multi-physics models using numerical simulations, scripting and programming.
• You combine physics-based models with data-based approaches.
• 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 / physics background.
• Sound fundamentals of Numerical methods.
• Sound understanding of Linear algebra.
• Strong in Scientific Machine Learning (SciML) methods like PINNs, operator learning, system identification.
• Excellent programming skills in python.
• Good knowledge of partial differential equations.
• Numerical methods for modelling and simulation. Excellent presentation and communication skills.

Preferable skills:

• Experience with simulation tools: Matlab, Simulink, and Ansys will be added advantage.
• Familiarity with high performance computing will be added advantage.