Bosch Group
PhD - Optimization Of Multi-Scale Simulation Parameters Using Agentic AI(m/w/x)
Full-timeWith HomeofficeNot specified
Renningen
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BOBosch Group
PhD - Machine Learning-based Surrogate Modeling for Computationally Efficient Multiphysics Simulation(m/w/x)
Renningen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Training ML surrogate models with EHL simulations for lubricated components at technology developer for high-precision components. Experience in contact mechanics and EHL desirable. Project-based work with scientific publication opportunities.
Requirements
- Master's degree in Engineering, Mathematics, Physics or comparable
- In-depth knowledge of numerical methods
- Strong interest or background in machine learning
- Desirable experience in contact mechanics and EHL
- Strong programming and scripting experience, preferably Python
- High motivation and scientific curiosity
- Independent work on complex issues
- Clear and concise communication of research
- Constructive contribution to a team
- Efficient project organization and overview
- Fluent written and spoken English
- Advantageous good German language skills
Tasks
- Develop scientific foundations for machine learning frameworks
- Train surrogate models using validated EHL simulations
- Create data-driven design protocols for lubricated components
- Accelerate design processes for complex EHL problems
- Develop robust and reliable tribological components
- Integrate AI into classical engineering design
- Apply machine learning to complex engineering challenges
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
PhD - Machine Learning-based Surrogate Modeling for Computationally Efficient Multiphysics Simulation(m/w/x)
Renningen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Training ML surrogate models with EHL simulations for lubricated components at technology developer for high-precision components. Experience in contact mechanics and EHL desirable. Project-based work with scientific publication opportunities.
Requirements
- Master's degree in Engineering, Mathematics, Physics or comparable
- In-depth knowledge of numerical methods
- Strong interest or background in machine learning
- Desirable experience in contact mechanics and EHL
- Strong programming and scripting experience, preferably Python
- High motivation and scientific curiosity
- Independent work on complex issues
- Clear and concise communication of research
- Constructive contribution to a team
- Efficient project organization and overview
- Fluent written and spoken English
- Advantageous good German language skills
Tasks
- Develop scientific foundations for machine learning frameworks
- Train surrogate models using validated EHL simulations
- Create data-driven design protocols for lubricated components
- Accelerate design processes for complex EHL problems
- Develop robust and reliable tribological components
- Integrate AI into classical engineering design
- Apply machine learning to complex engineering challenges
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
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