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Job 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 mega trends 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), 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 time series analysis, natural language processing, computer vision, numerical methods for embedded real time systems, and hybrid modelling (Scientific Machine Learning - SciML).  We pursue research and development by working with top-tier universities worldwide and our corporate partners.



Job Description

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.


  • You’ll 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 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




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