PhD - Optimization Of Multi-Scale Simulation Parameters Using Agentic AI

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Bosch Group in Renningen is seeking a PhD candidate to optimize multi-scale simulation parameters with an agentic AI framework, building a virtual expert for metal components using an integrated simulation chain focused on manufacturing processes and lifetime prediction. You will propose design modifications spanning geometry and material choices, optimize parameters, run complex simulations with large language models, and establish workflows to generate lifetime predictions; analyze results and outline concrete follow-up actions; contribute to evolving our reasoning models with new research findings. Apply with outstanding Master’s and doctoral study eligibility, knowledge of solid-state physics and modeling, proactive ownership and teamwork, fluent English and German, and CV with certificates, onsite Renningen.

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

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 Master’s 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

https://www.bosch-ai.com
www.bosch.com/research

Please 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)
+49 711 811 43338

Need further information about the job?
Hermann Autenrieth (Functional Department)
+49 711 811 10252

Work #LikeABosch starts here: Apply now!