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.
- Youll be part of our team and model mechanical systems accurately and reduce computational cost.
- You will simulate 1D/2D/3D multiphysics models using numerical simulations scripting and programming.
- You combine physicsbased models with databased 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.
Qualifications :
MS/M.Tech PhD from top Indian institutes (IITs IIITs IISc etc.) or from top international institutes with good track record of research publications related to numerical methods for modelling and simulation solid/fluid/thermal systems AI/ML methods
Additional Information :
3 years
Remote Work :
No
Employment Type :
Fulltime