Researcher: AI/ML enhanced Computational Engineering at Bosch Group

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Numerical Methods, AI/ML, Deep Learning, Surrogate Modelling, Linear Algebra, Programming, Python, System Identification, Ordinary Differential Equations, Partial Differential Equations, Physics-Based Models, Data-Based Approaches, LLMs, Transformers, High Performance Computing

Industry

Software Development

Description

Company Description At Bosch Research, research meets application. Around 1,700 experts around the world develop the technologies of tomorrow and beyond. The world in which we live is changing rapidly. Global megatrends such as climate change and digitalization influence virtually every area of day-to-day life. One thing that doesn’t change is Bosch’s mission to create technology that is “Invented for life” in other words using technological innovations to improve people’s quality of life and using natural resources responsibly. Bosch Research sees itself as the spearhead of innovation at Bosch: Our researchers are involved in around a quarter of the patent applications filed by Bosch. On the one hand, we help all Bosch divisions to develop the next generation of products or the generation after that. On the other hand, we look far into the future: with our partners in science and industry, we identify technologies and trends which will shape our lives in the future and make them usable for the entire company. As a global team with around 1,700 experts from all over the world, we cover a wide range of areas with our research. Whether it be automation, digitalization and connectivity, artificial intelligence (AI), generative artificial intelligence (Gen AI), electrification, climate action and sustainability or healthcare: Bosch Research combines top-level research with specific technological developments. For more information visit: https://www.bosch.com/research/ The Research and Technology Center at Bangalore focuses on research in real-time connected mobility, computational engineering, hybrid modelling (system modelling using a combination of physics and AI/ML), time series analysis, natural language processing, computer vision, Gen AI applications, numerical methods, embedded real time systems. We pursue research and development by working with top-tier universities worldwide and our corporate partners. 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 solve 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.