Researcher: AI/ML enhanced Computational Engineering for Scientific AI and Optimization
Robert Bosch GmbH (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and advance AI-enhanced scientific machine learning methodologies for interpretable physical model discovery in industrial system simulation.
- Collaborate with international interdisciplinary teams to integrate physics-based simulation, symbolic regression, numerical optimization, and LLMs for next-generation digital engineering workflows.
- Benchmark and define technical directions for future AI technology development in virtual product development and AI-assisted engineering design related to multiple Bosch business sectors.
Minimum Requirements
- 3+ years of relevant work experience in scientific machine learning, computational mechanics, or related fields.
- MS/M.Tech or PhD from top Indian or international institutes in Mechanical Engineering, Applied Mathematics, Physics, Computer Science, Control Engineering, Scientific Computing, or related disciplines.
- Strong programming skills in Python focused on scientific computing and software development.
- Solid understanding and hands-on experience with computational mechanics, numerical methods (Finite element, Finite Volume, Finite difference), and related theory (not just tool usage).
Ideal Candidate Profile
- Experienced with advanced scientific ML methods including symbolic/sparse regression, physics-informed ML, operator learning, and system identification.
- Capable of working independently in international interdisciplinary research teams integrating AI, physics, and industrial engineering.
- Knowledgeable in scientific computing libraries (NumPy, SciPy, PyTorch), numerical optimization, and familiar with emerging AI technologies such as LLMs and AI agents.