Conduct fundamental scientific research as a PhD candidate to make significant contributions to predicting the lifespan of metallic components and more.
You will develop Design of Experiments (DoE) models for analyzing and generating virtual load collectives. Additionally, you will research how LLM-based multi-agent systems perform in selecting input data for the simulation chain and effectively serve as developers of tools for reliability simulations.
You will implement data-based and AI/LLM approaches using Python code. Furthermore, you will develop methods to evaluate the quality of results/uncertainties and apply them to a demonstrator system.
In this role, you will also implement an existing software platform.