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materials characterization, high resolution (in situ) microscopy, and synchrotron analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Work assignments This position is primarily a
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group focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial
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PyTorch, along with a solid understanding of modern neural network architectures and techniques. You are experienced in conducting independent research and highly motivated to develop methodologies
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., phylogenetic analysis) You have personal integrity and take initiative. You are resilient, and do not give up easily. You are well structured as a professional and driven to achieve a high level of quality
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independently. The workplace The Division of Automatic Control is successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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, and also generate data for ML procedures. The theoretical work will be closely correlated to related experimental activities, i.e., materials synthesis, analysis, and property testing. As postdoc, you
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wide network of collaboration in industry and academia. The research environment currently includes over 12 PhD students and several postdocs working in the cybersecurity, trustworthy AI, and cyber