We are looking to recruit a
PhD position – Deep Learning for In Situ Electron Microscopy
The multidisciplinary Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to materials simulation, research data management and software development under one roof. In doing so, we extract new information from simulations and experiments, identify patterns, structure, and trends in microscopy data, and ultimately improve our understanding of why materials, processes, or general systems work the way they do. In addition, we benefit from a strong connection to the Ernst-Ruska-Centre for Electron Microscopy and to the Jülich Supercomputing Center. One part of our research activity is dedicated to pushing the boundaries of materials science and electron microscopy. Our work combines cutting-edge imaging techniques with deep learning to unravel the behavior of lattice defects, specifically dislocations, in functional materials under mechanical stress. This research is essential for advancing fundamental science and ensuring the reliability of materials used in energy transition.
Last Modified: 21.11.2023