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Field
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of generative AI and foundation model approaches for smart grids and energy systems Generation of synthetic yet realistic energy datasets based on real operational data from the FZJ campus and Living Lab Energy
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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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transport, with the ambition of producing high-impact research and contributing to Iceland’s climate neutrality goals by 2040. The PhD project investigates the ancillary services and grid upgrades required
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to watch video, or click here to open video) About the position We are looking for a PhD research fellow within “Distributed Optimization and Control of Reactive Power considering grid stability in
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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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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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From electric vehicles to grid-scale energy storage, the future of clean energy relies on breakthroughs in battery technology. This PhD will develop cutting-edge terahertz spectroscopy methods
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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(GRID), led by Dr. Abbey Steele (2026–2031), argues that the political alignment between national governments, local authorities, and displaced people shapes where states offer protection — humanitarian