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interdisciplinary research It would be considered beneficial if the candidate has knowledge of one or more of the following topics: XAI, NLP, law, latent space analysis, uncertainty estimation. Qualification
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sector-coupled energy system will face major challenges with handling the uncertainties from variable renewable energy (VRE) sources like wind and solar power. The power system operators will need
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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medicine residues. Currently, several substances lack regulation and drinking water safety standards, creating uncertainty about acceptable groundwater impact and safe drinking water consumption. Non-target
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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intermediaries, policymakers, and regulators. The PhD project particularly focuses on the interplay of individuals’ behavior and uncertainty in household finance. For most economic decisions individuals may make