Postdoctoral Researcher – Computational Electron Microscopy and Machine Learning

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Area of research: . Scientific / postdoctoral posts. Job description: Postdoctoral Researcher – Computational Electron Microscopy and Machine Learning . 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 and trends in microscopy data, and improve our understanding of why materials and processes work the way they do. We benefit from a strong connection to the Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C). and to the Jülich Supercomputing Centre. Within IAS-9, the Deep Learning for Electron Microscopy group develops machine learning methods grounded in the physics of the measurement rather than in generic image statistics. We are looking for a postdoctoral researcher whose scientific home is electron microscopy itself and who wants to develop the computational methods the field now needs: identifying where microscopy questions genuinely require new methods, developing them, and validating them against real experimental data. Your Job . This position sits at the interface between electron microscopy and machine learning. We are looking for a microsco