Bosch Group
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Renningen
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BOBosch Group
PhD - Optimization Of Multi-Scale Simulation Parameters Using Agentic AI(m/w/x)
Renningen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Optimizing multi-scale simulation parameters for material design and lifetime predictions using Agentic AI. Solid state physics and simulation modeling knowledge essential. Focus on innovative AI workflows for predictive modeling.
Requirements
- Master’s degree in Physics, Mechanical Engineering, Materials Science or comparable
- Good knowledge of solid state physics
- Knowledge of modelling and simulation
- Ideally first user experience with appropriate software
- Proactive and committed personality
- High sense of ownership
- Collaborative teamwork skills
- Goal-oriented and results-driven approach
- Clear and persuasive communication skills
- Interest in materials technology, metals, and fatigue strength
- Fluency in English and German
Tasks
- Develop recommendations for design and material modifications
- Optimize critical parameters and conduct complex simulations
- Leverage Large Language Models and domain expertise
- Establish innovative workflows for lifetime predictions
- Analyze simulation results to derive follow-up actions
- Contribute to the development of AI reasoning models
- Integrate new research findings into existing frameworks
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- modelling software
- simulation software
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 - Optimization Of Multi-Scale Simulation Parameters Using Agentic AI(m/w/x)
Renningen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Optimizing multi-scale simulation parameters for material design and lifetime predictions using Agentic AI. Solid state physics and simulation modeling knowledge essential. Focus on innovative AI workflows for predictive modeling.
Requirements
- Master’s degree in Physics, Mechanical Engineering, Materials Science or comparable
- Good knowledge of solid state physics
- Knowledge of modelling and simulation
- Ideally first user experience with appropriate software
- Proactive and committed personality
- High sense of ownership
- Collaborative teamwork skills
- Goal-oriented and results-driven approach
- Clear and persuasive communication skills
- Interest in materials technology, metals, and fatigue strength
- Fluency in English and German
Tasks
- Develop recommendations for design and material modifications
- Optimize critical parameters and conduct complex simulations
- Leverage Large Language Models and domain expertise
- Establish innovative workflows for lifetime predictions
- Analyze simulation results to derive follow-up actions
- Contribute to the development of AI reasoning models
- Integrate new research findings into existing frameworks
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- modelling software
- simulation software
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.
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