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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

The focus is set on modeling interfacial reactions with decisive importance for the function and lifetime of products in electromobility and regenerative energy technology.


  • You’ll be part of our team and derive and implement a strategy for the cross-scale description of the interaction of multiphase fluids and metals with a focus on electrochemistry and fluid dynamics.
  • You’ll develop and applicate 2D/3D multi-physics models using numerical simulations, scripting, and programming.
  • Furthermore, you’ll combine physics-based models with data-based approaches.
  • You’ll parameterize and validate models with available data using multivariate statistics.
  • You’ll work in international teams and perform necessary development / implementation to accomplish the tasks.
  • Publish research findings in reputable journals and conferences.

Required skills:


  • Proven experience in the field of modeling of corrosion phenomena at interfaces
  • Profound knowledge in multi-physics simulation as well as computational fluid dynamics (CFD), preferably with OpenFOAM and/or Comsol
  • Profound and broad knowledge in numerical methods in engineering
  • Sound understanding of Linear algebra
  • Excellent coding skills in Python and C++ including version control (e.g. Git), software testing, linting
  • Competent handling of statistical data analysis and application of machine learning techniques, preferably with Python (ideally PyTorch) and C++
  • Knowledge in homogenization and model order reduction methods is desirable.
  • Enthusiastic and curious to work for a cross-domain task with scientific complexity

Preferable skills:


  • Experience with simulation tools: Matlab and 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, computational engineering



Additional Information

3+ years




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