PhD Position in Physics-Based Machine Learning (m/w/d)

- development of novel machine models based on supervised, unsupervised and reinforcement learning that can enhance or replace methods from computational engineering and computer simulation - data modeling and assimilation towards experimental measurements under consideration of uncertainties - utilization of Explainable AI techniques to enable novel scientific discoveries - explore and evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of machine learning pipeline in Python (using e.g. PyTorch) - validation of results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of scientific results in international scientific journals and at international conferences and workshops