PhD- Virtual Reliability Assessment New Methods for Leveraging the Simulation Chain
PhD- Virtual Reliability Assessment New Methods for Leveraging the Simulation Chain
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Job Description
- 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.
- Furthermore you will also research the question of how LLMbased multiagent systems perform in the selection of input data for the simulation chain and how effectively multiagent systems can serve as developers of tools for reliability simulations.
- Also you will implement databased and AI/LLM approaches using Python code.
- You will also 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.
Qualifications :
- Education: above average degree in Mechanical Engineering Applied Maths Physics 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 databased 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
Additional Information :
final topic depends on your university.
Start: by prior agreement
We offer flexible working models: from various parttime options to mobile working and job sharing. Feel free to contact us.
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)
Need further information about the job
Benjamin Maier (Functional Department)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
