Bosch Gruppe | Germany | Renningen | Practical training | Part time - flexible / Full time / Home office | Published since: 04.03.2025 on stepstone.de
PhD- Virtual Reliability Assessment: New Methods for Leveraging the Simulation Chain
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!
Employment type: Limited Working hours: Full-Time Joblocation: Renningen
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Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!
Employment type: Limited Working hours: Full-Time Joblocation: Renningen You will conduct fundamental scientific research (PhD) that makes a significant contribution to predicting the lifespan of metallic components and more. In addition, you will develop Design of Experiments (DoE) models for the analysis and synthetic generation of virtual load collectives. In addition, you will research the question of how LLM-based multi-agent systems perform in the selection of input data for the simulation chain and how effectively multi-agent systems can serve as developers of tools for reliability simulations. So, you will implement data-based and AI/LLM approaches using Python code. You will therefore develop methods to evaluate the quality of results / uncertainties and apply the methods to a demonstrator system. Last but not least, you will implement an existing software platform.
Education: above average degree in Mechanical Engineering, Applied Maths, Simulation Technology, Computer Science or Computational Science and Engineering Experience and Knowledge:advanced knowledge and experience in the development of simulation methods for engineering problems good knowledge in the field of computational lifespan estimation of components and systems as well as in the areas of Design of Experiments (DoE) methods and AI agentic frameworks Experience in data-based or hybrid modeling and implementation in Python program code as well as in the numerical implementation of models
Personality and Working Practice: your proactive and committed attitude makes you a valued team member; you never lose sight of your goals and you are comfortable presenting and speaking in front of others Languages: very good in German and English
Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.
The recruitment contact or superior will be happy to provide information about the individual benefit plan. .
Company location
Location
![]() | Bosch Gruppe | |
Renningen | ||
Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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