Researcher - Corrosion and CFD simulations

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 28,200+ 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

The Research and Technology Center at Bangalore focuses on research in Time series analysis, Natural language processing, Computer vision, Numerical methods, 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.

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