PhD Student - Optimization of Multi-Scale Simulation Parameters Using Agentic AI | PhD - Optimization Of Multi-Scale Simulation Parameters Using Agentic AI

Job Summary

This PhD position at Bosch focuses on revolutionizing the product development lifecycle for metal components by integrating multi-scale simulation chains with advanced Agentic AI frameworks. As a doctoral researcher, you will be responsible for developing a 'virtual expert' capable of optimizing manufacturing processes and predicting component lifetime. Your day-to-day work involves conducting complex simulations, leveraging Large Language Models (LLMs) for reasoning tasks, and analyzing simulation results to derive design modifications for geometry and material selection. The role requires a strong background in solid-state physics and materials science to establish innovative workflows for diverse materials. This position is particularly attractive for researchers looking to bridge the gap between traditional engineering simulations and cutting-edge AI, offering the opportunity to contribute to high-impact industrial research within the Bosch Research network. You will work at the intersection of material technology, fatigue strength, and autonomous AI reasoning models to maximize product performance.