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synthesis, material science, theory and modeling, device physics, nanotechnology, biotechnology, and system design. Our activities span the range from basic research to commercialization, the latter carried
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methods for data assimilation; and graph-based multi-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
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. The workplace You can read about the workplace here: Linköping University, https://liu.se/en Theoretical Physics Division, https://liu.se/en/organisation/liu/ifm/teofy Theory of disordered materials unit, https
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democratic experiments aimed at involving citizens in climate action. The position also offers opportunities to further develop the research area through contributions to green democratic theory and methods
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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. The workplace The position is located at the Laboratory of Organic Electronics (LOE ), specifically within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib