Researcher: AI/ML Enhanced Computational Engineering
Bosch Group
Researcher: AI/ML Enhanced Computational Engineering
The focus is set on machine learning applied to solving engineering systems which falls in the domains of fluids/solids/thermal in mechanical engineering.
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'll be required to utilize concepts of LLMs and transformers for various applications towards simulation tools.
You will work in international teams and perform necessary development/implementation to accomplish the tasks.
Publish research findings in reputable journals and conferences.
Educational qualification: MS/M.Tech, PhD from top Indian institutes (IITs, IIITs, IISc etc.) or from top international institutes with a good track record of research publications related to:
- Numerical methods for modelling and simulation solid/fluid/thermal systems
- AI/ML, Deep learning methods and surrogate modelling
Experience: 3+
Mandatory/required skills:
- Proficient in Mathematics with a solid engineering/physics background.
- Good knowledge of ordinary and partial differential equations.
- Sound fundamentals of Numerical methods for modelling and simulation.
- Sound understanding of Linear algebra.
- Strong in AI/ML, Deep learning, surrogate modelling methods like Operator Learning, Physics informed machine learning, Reduced order models, tabular foundational models
- Strong in system identification
- Understanding of LLMs and transformers
- Excellent programming skills in python.
- Excellent presentation and communication skills.
Preferred skills:
- Experience with simulation tools: Matlab, Simulink, and Ansys will be an added advantage.
- Experience in High performance computing will be an added advantage.