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of taking up the position, at a level equivalent to that required for MSc students, see https://masters.au.dk/how-to-apply/admission-requirements/danish-language-requirements . Course fees etc. in
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advanced and fundamental science classes for university students. Experience in collaborations and bringing new ideas. Experience in writing scientific grant applications and securing funding. You must be
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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possible. The working time are 37 hours per week on average, and the working hours are flexible. The position is for 2 years. Appointment can be subject to receipt of a security clearance. Your application
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, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. The section is part of the Department
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for the DigiWind project: https://digiwind.org/ , with a primary focus on DTU Wind’s DigiWind course portfolio: https://www.dtu-digiwind.org/ . The profile we are looking for have strategic communicator- and
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. We are looking for new colleagues who can
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history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You
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(see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after
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projects and execute these in collaboration with other colleagues. Preferably, the candidates have experience with: Robot control Safety-critical systems Machine learning and reinforcement learning