Researcher: AI/ML enhanced Computational Engineering

Job Description

Roles & Responsibilities :

• 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.

Qualifications

Educational qualification:

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, Deep learning methods and surrogate modelling

Experience :

3+

Mandatory/required Skills :

• Proficient in Mathematics with 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 added advantage.

• Experience in High performance computing will be added advantage.