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and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase distribution systems observability via surrogate models
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interdisciplinary consortium while collaborating closely with a second PhD researcher focused on reactor modelling and safety analysis. Job description TU Delft is part of a consortium led by Allseas that is
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, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at the interface
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minerals, to better understand the interconnected materialities, histories, and knowledge practices that underpin geosocial and capitalist relations. The project will examine the lived experiences
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degree in Electrical & Mechanical Engineering, Power Electronics, Materials, or a closely related discipline. Strong background in power electronics, electronic paakging and system integration, reliability
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. This PhD aims to address research questions such as how can AI and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase
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components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact