Researcher: AI/ML enhanced Computational Engineering at Bosch Group

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mathematics, Engineering, Physics, Numerical Methods, Linear Algebra, AI/ML, Deep Learning, Surrogate Modelling, System Identification, LLMs, Transformers, Python, Simulation Tools, High Performance Computing

Industry

Software Development

Description

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. 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. Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

The role involves applying machine learning to engineering systems in mechanical engineering, focusing on fluids, solids, and thermal domains. Responsibilities include simulating multi-physics models and combining physics-based models with data-based approaches.