Description

Roles & Responsibilities :

For this profile, the focus is set on modeling interfacial reactions which is of great importance for proper long term functioning of products in electromobility and regenerative energy tech.

• You’ll derive and implement strategies for cross-scale description of the interaction of multi-phase fluids and metals with a focus on electrochemistry and fluid dynamics.

• You develop and apply 2D/3D multi-physics models using numerical simulations along with the requisite scripting and programming.

• For certain modelling tasks you’ll combine physics-based models with data-based approaches for efficiency and accuracy gains.

• You’ll parameterize and validate models with available data using multivariate statistics.

• You will work in international teams and perform necessary development / implementation tasks to accomplish the research goals.

• Publish research findings in reputable journals and conferences.
  
   

Qualifications

Educational qualification:

MS/M.Tech, PhD from top Indian institutes (IITs, NITs, IISc etc.) or from top international institutes in Chemical, Mechanical, Aerospace, or any other Engineering, Science or Interdisciplinary streams where the candidate has gained demonstrable required skills detailed hereunder with good academic track record and research publications related to:

• Computational Science or Engineering where the required skills have been clearly leveraged  

Experience :

3+

Mandatory/requires Skills :

• Experienced in the field of modeling of electrochemical/corrosion phenomena at interfaces

• Sound knowledge in multi-physics simulation as well as computational fluid dynamics (CFD), preferably with OpenFOAM and/or COMSOL

• Good knowledge of Ordinary and Partial Differential equations

• Sound knowledge of numerical methods in engineering viz Finite element, Finite Volume and Finite difference methods

• Sound understanding of Linear algebra

• Excellent coding skills in Python and C++ including version control (e.g. Git), software testing, linting

• Competent in handling of statistical data analysis and application of machine learning techniques, preferably with Python (ideally PyTorch) and C++

• Enthusiastic and curious to work for a cross-domain task with high complexity

• Excellent communication and presentation skills  

   

Preferred Skills :

• Experience with simulation tools: MATLAB and Simulink and Ansys will be added advantage.

• Familiarity with high performance computing will be added advantage.

• Knowledge of homogenization and model order reduction methods would be an added advantage  

• Knowledge of LLMs and usage of GenAI tools, assists and copilots would be an added advantage

Additional Info

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.