Computer Scientist / PhD Researcher in Machine Learning | Informatiker (m/w/d)

Job Summary

This role at the Institute for Materials Data Science and Informatics (IAS-9) at Forschungszentrum Jülich focuses on developing foundational Machine Learning and AI methods for scientific imaging and materials discovery. As a PhD candidate, you will work within a multidisciplinary team to bridge data-driven approaches with domain knowledge. Your daily responsibilities include developing multi-scale representation learning methods, designing active learning strategies for experimental design, and building surrogate models to connect imaging data with physical properties. This position is particularly attractive due to its integration with the Jülich Supercomputing Center and the Ernst Ruska-Centre, offering access to high-performance computing and unique scientific infrastructures. You will have the opportunity to publish in high-impact journals and contribute to open-source software while working on high-stakes projects like sustainable steel development. This is an ideal role for a researcher looking to solve fundamental AI questions within a real-world scientific context.