67 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions at Technical University of Denmark
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Job Description A fully funded 3-year PhD position is available at DTU Aqua, within the newly established project NOW-LUMP, funded by seabreak (https://www.aqua.dtu.dk/nyheder/stenbiderprojektet?id
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, machine learning tools, and simulation techniques. If you thrive at the intersection of engineering, data, and advanced computational science, this position will allow you to contribute meaningfully
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is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will
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ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but not mandatory: Interest in advanced computational methods to improve and
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Peter Vilhelm Skov (DTU Aqua
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thematic training weeks, specialist workshops, and transferable-skills courses central to the MSCA programme. Your research will be based at DTU’s Risø campus, a leading international hub for wind energy
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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel
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are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational modeling of large-scale atmospheric processes in