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in environments characterized by uncertainty. The position is within the Artificial Intelligence for Operations Research (AI4OR) group at Aalborg University and the research will be conducted in highly
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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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technological and resource availability scenarios, to understand and quantify the impacts of new technologies, and to work extensively with uncertainty analysis. The successful PhD candidates will be expected
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in environments characterized by uncertainty. The PhD position is in an unparalleled opportunity to contribute to creating trustworthy real-time autonomous systems. Collaborative endeavors with
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). Responsibilities and qualifications As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. You must: Have experience in AI models (e.g
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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
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is to create and combine knowledge on relevant atmospheric flow statistics with AWE time-domain analysis and uncertainty quantification, to determine loads statistics and failure probabilities