Johannes Gerstmayr

PhD opening in AI-Powered Virtual Labs: Expanding Engineering Knowledge at the University of Innsbruck (Austria), supported by the FWF . The project combines multibody dynamics , physics-based simulation , large language models , agentic AI , and reinforcement learning from simulation feedback (RLSF) to build a simulation-augmented engineering dataset and an autonomous virtual engineering lab. You will join a research group with expertise in multibody dynamics, robotics, simulation software development, and AI/LLMs. The role is part of a two-researcher project and includes work across all work packages: data creation and evaluation, LLM fine-tuning with simulation feedback, and development of the virtual engineering lab. The position also involves contributing to publications, presentations, and the project’s dissemination and scientific network. Required background: a solid engineering background with interest in multibody dynamics and numerical simulation, plus experience in machine learning and strong Python programming skills. Helpful additional experience includes LLMs, reinforcement learning, RLSF, code generation, evaluation, simulation tools, mechanics/dynamics, numerical modeling, data processing and automation, and high-performance computing. Funding and duration: 3 years, 30 hours/week, with gross annual salary according to the Austrian National Science Fund (FWF) PhD salary scheme. How to apply: prepare one PDF containing a cover letter, CV, academic transcripts, and optionally a master thesis or preprints. Email it to Prof. Johannes Gerstmayr at the University of Innsbruck with the subject line “PhD Application – AI‑Powered Virtual Labs.”