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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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. The PhD project is part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies), which is a national collaboration involving 23 leading companies, five Danish
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sources with embedded quantum memories based on erbium in ultracompact tunable silicon nanocavities. You will be part of a well-funded project that builds on our recent experimental breakthroughs in ultra
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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controlling WBG semiconductor-based converters for electric machines. The role involves designing, developing, controlling, and demonstration of the electric drive system in collaboration with our industry
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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project constitutes one of the four subprojects and is therefore part of a larger research collaboration while also functioning as an independent unit. You will be working on the research aims to examine