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Job Description The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems. You will be
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must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. The degree should be within physics, chemistry or engineering
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leading research group on data-driven and stochastic methods in engineering. In addition, we have a dedicated focus on the next generation of methods for smart grids and for accelerating the green
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and peptide phase separation and aggregation associated with human neurodegenerative diseases. The applied methods include protein engineering as well as various spectroscopy, confocal and electron
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. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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drugs. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a
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, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
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Job Description SDU Mechatronics and the Centre of Industrial Mechanics, part of Institute of Mechanical and Electrical Engineering and the Faculty of Engineering at the University of Southern
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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background