23 evolution-"https:"-"https:"-"https:"-"ESPCI-Paris---PSL" PhD positions at Aalborg University
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AI for Cyber-Physical Energy Systems (Copenhagen) The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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. The PhD students will work on several tasks, including: development of safe data-driven control/reinforcement learning algorithms to recover parameter identifiability by exploration of different
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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, where relevant, PhD level, typically within areas related to wireless communication. This includes course teaching, supervision of project and thesis work, and involvement in the continuous development
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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(CAM) . CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI-based decision support tools and is rapidly growing with currently
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prediction outputs. The first PhD will work on data fusion, feature extraction, and model development ranging from baseline approaches (e.g., gradient boosting) to deep learning architectures. The work also
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evolution in Denmark, and potential challenges and opportunities. You will contribute to these analyses but also have freedom to pursue original ideas, which can then shape the thematic chapters
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for its contribution to the United Nations Sustainable Development Goals. Stipend 1: The Department of Computer Science has more than 170 scientific staff, 20 administrative staff, and around 1,100 students