Doctoral Research Position (m/f/x)

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

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Doctoral Research Position (m/f/x)

Universität des Saarlandes

Campus, 66123 Saarbrücken, Germany