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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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of the department include sustainable materials and products based on lignocellulose, ranging from nanomaterials to novel cellulose-based textiles. Your network and team The position is based at the Department
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outcomes Possibility to work with students and develop your supervisory and pedagogical skills Strong networking and visibility across institutions and international partners Experience in research
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, societally relevant outcomes Possibility to work with students and develop your supervisory and pedagogical skills Strong networking and visibility across institutions and international partners Experience in
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on experimental activities. You will also work in a diverse and multi-disciplinary research environment varying from electrical engineers to electrochemists. Additionally, you will develop a network of industrial
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, silicides hold promise for realization of coherent superconducting quantum circuits, enabling scalability with minimal additional cost and reduced complexity in technology transfer. Successful realization
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for realization of coherent superconducting quantum circuits, enabling scalability with minimal additional cost and reduced complexity in technology transfer. Successful realization of these components requires