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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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Job Description We are seeking candidates for a 3-year PhD project as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Consumer Energy Demand Flexibility in Electricity Use
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. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal in driving AI innovation and contributing to a transformative approach to
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, encouraging creativity, diversity, and teamwork. You will have great opportunity to build strong networks with internationally renowned researchers at DTU and other universities as well as industrial partners
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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may employ optional methods, such as quantitative and/or qualitative approaches, discourse or narrative analysis. Selection criteria will emphasize projects with a historical focus on one or more of the
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teaching and knowledge dissemination. The PhD position is one of 13 PhD positions in the Marie Skłodowska Curie Action Doctoral Network Scheme TRANSFORM. TRANSFORM focuses on examining whether and to what
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, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems. CLASSIQUE will address a
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Doctoral Network project “Leveraging Anaerobic Digestion through environmental stresses (LeAD) ”, the hired PhD Scholar will focus on anaerobic microbiome, microbial ecology, microbial interactions