Research Scientist - Predictive Modeling of Metallic Components
We are looking for a highly skilled Research Scientist to join our team and contribute to the development of predictive models for the lifespan of metallic components. As a key member of our research group, you will be responsible for conducting fundamental scientific research that makes a significant contribution to this field.
Your primary focus will be on developing Design of Experiments (DoE) models for the analysis and synthetic generation of virtual load collectives. You will also investigate the performance of LLM-based multi-agent systems in selecting input data for the simulation chain and explore their potential as developers of tools for reliability simulations.
In addition to your research responsibilities, you will implement data-based and AI/LLM approaches using Python code and develop methods to evaluate the quality of results/uncertainties. You will apply these methods to a demonstrator system and ensure the successful implementation of an existing software platform.
Required Skills and Qualifications
* PhD in Mechanical Engineering, Applied Maths, Physics, Simulation Technology, Computer Science or Computational Science and Engineering
* 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 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
* Excellent communication and presentation skills
Benefits
* Flexible working arrangements
* A wide range of health and sports activities
* An intermediary service for childcare services
* Employee discounts
* Space for creative work
* Social counseling and intermediary service for care services
Please note that we offer a competitive compensation package that includes benefits such as flexible working hours, a healthy work-life balance, and opportunities for professional growth and development.