Reference number W2878, salary in accordance with the German TV-L salary scale, pay grade: E13 TV-L, duration of employment: 3 years, volume of employment: 100 % of standard working time.
Workplace/Department: Saarland University, Chair of Data-Driven Simulation and Analysis in Material Science, Subject Area: Foundation Models and Agentic AI for Physical Systems
What we work on
Our group develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems.
Current Research Directions include:
- AI for scientific computing – neural operators and learning-based surrogates for physical systems
- LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows
- AI for engineering design – LLM-driven agents for autonomous optimization and design of materials, structures and processes
- Multimodal scientific AI – integrating language, images, sensor data and simulations
- Alignment for scientific AI – scalable oversight, verification and control of LLM-based agents
- AI for materials discovery – generative models, active learning and autonomous discovery of novel materials
Your potential responsibilities
- Pursue an independent research project (toward your doctorate) within one of the research directions above or a closely related area
- Develop, train and evaluate modern ML models on GPU/HPC infrastructure
- Publish at leading venues and present your work at international conferences
- Contribute to collaborative research projects with partners at EPFL and Hamburg University of Technology
- Support teaching, co-supervise students and collaborate actively