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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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optimized for real-time processing on resource-constrained devices? How can interpretability be ensured for complex AI models used in energy systems? Responsibilities and (foreseen) tasks: Develop advanced AI
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Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration
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efficiency and thermal comfort. Develop digital twins, grey-box models, and urban-scale models of thermal systems for design optimization and operational performance diagnostics. Develop and implement
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cookie and refresh page to watch video, or click here to open video) About the position The international shipping industry is striving to decarbonize and save energy. One of the most promising
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, scalable energy concept in which the computing infrastructure and energy system are tightly coupled and jointly optimized. During the project, a container-scale prototype will be realized, which will combine
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research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models. · Perform
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The challenge: Power electronics are central to renewable-energy systems