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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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energy transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A 4-year PhD position is available
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has access to 300m2 of labs for conducting experimental research and is supported by a state-of-the-art 800m2 cleanroom. With 11 tenured scientists and as many as 70 PhDs, postDocs and senior
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transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan grid
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transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan grid
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on Pareto losses. The aim of this PhD project is to extend the existing freeform design strategies to include uncertainties using spectral methods for uncertainty quantification, such as polynomial chaos
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supervised by researchers from the University of Amsterdam and Deltares, working together with experts from the field. This is what you will be doing This PhD project focuses on the interaction between long
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developing the telecom‑grade quantum networks. The PhD position is fully funded by our industry partner (KPN) in Smart Optical Networks Lab (SONL) of the Electro-Optical Communication group. The research
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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators