The final μ-structure and properties of a component are strongly dependent on the prior manufacturing process
steps. The high number of parameters leads to a huge experimental parameter space to be investigated for new
product generations μ-structure states and process chains and those influence on lifetime. As a result it is timeconsuming to evaluate in product development different variants of materials and processes. Therefore we strive for a virtual expert for metal components using an integrated multi-scale simulation chain with an agentic AI framework for reasoning tasks having in focus manufacturing processes and lifetime prediction.
- You develop concrete recommendations for design modifications - encompassing geometry manufacturing processes and material selection - to maximize our product performance.
- Furthermore you optimize critical parameters and conduct complex simulations strategically leveraging Large Language Models (LLMs) and your deep domain expertise.
- For our components you establish and apply innovative workflows for diverse materials and manufacturing processes to generate precise lifetime predictions.
- As part of your tasks you analyze simulation results in detail draw informed conclusions and derive concrete follow-up actions.
- Last but not least you actively contribute to the further development of our reasoning models and integrate new findings from research and development.
Qualifications :
- Education: outstanding Masters degree (with entitlement to admission to doctoral studies) in Physics Mechanical Engineering Materials Science or comparable
- Experience and Knowledge: good knowledge of solid state physics modelling/simulation ideally first user experience with appropriate software
- Personality and Working Practice: you are proactive and committed with a high sense of ownership; as a collaborative team player you are focused on driving collective success; you are goal-oriented and results-driven with a sharp focus on objectives; clear and persuasive communication skills set you apart
- Enthusiasm: great interest in problems in the field of materials technology metals (production properties) and fatigue strength
- Languages: fluent in English and German
Additional Information :
submit all relevant documents (incl. curriculum vitae certificates).
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Sarah Schneck (Human Resources)
49 8
Need further information about the job
Hermann Autenrieth (Functional Department)
49 2
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Full-time
The final μ-structure and properties of a component are strongly dependent on the prior manufacturing processsteps. The high number of parameters leads to a huge experimental parameter space to be investigated for newproduct generations μ-structure states and process chains and those influence on li...
The final μ-structure and properties of a component are strongly dependent on the prior manufacturing process
steps. The high number of parameters leads to a huge experimental parameter space to be investigated for new
product generations μ-structure states and process chains and those influence on lifetime. As a result it is timeconsuming to evaluate in product development different variants of materials and processes. Therefore we strive for a virtual expert for metal components using an integrated multi-scale simulation chain with an agentic AI framework for reasoning tasks having in focus manufacturing processes and lifetime prediction.
- You develop concrete recommendations for design modifications - encompassing geometry manufacturing processes and material selection - to maximize our product performance.
- Furthermore you optimize critical parameters and conduct complex simulations strategically leveraging Large Language Models (LLMs) and your deep domain expertise.
- For our components you establish and apply innovative workflows for diverse materials and manufacturing processes to generate precise lifetime predictions.
- As part of your tasks you analyze simulation results in detail draw informed conclusions and derive concrete follow-up actions.
- Last but not least you actively contribute to the further development of our reasoning models and integrate new findings from research and development.
Qualifications :
- Education: outstanding Masters degree (with entitlement to admission to doctoral studies) in Physics Mechanical Engineering Materials Science or comparable
- Experience and Knowledge: good knowledge of solid state physics modelling/simulation ideally first user experience with appropriate software
- Personality and Working Practice: you are proactive and committed with a high sense of ownership; as a collaborative team player you are focused on driving collective success; you are goal-oriented and results-driven with a sharp focus on objectives; clear and persuasive communication skills set you apart
- Enthusiasm: great interest in problems in the field of materials technology metals (production properties) and fatigue strength
- Languages: fluent in English and German
Additional Information :
submit all relevant documents (incl. curriculum vitae certificates).
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Sarah Schneck (Human Resources)
49 8
Need further information about the job
Hermann Autenrieth (Functional Department)
49 2
Work #LikeABosch starts here: Apply now!
Remote Work :
No
Employment Type :
Full-time
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