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the analysis of high-resolution TEM images. In this position, you will collaborate closely with a group of PhD students, postdocs, and internationally leading scientists, all working at the technological edge
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low-noise characterization of magnetometers A PhD degree (or equivalent). General qualifications A strong drive to move the frontiers of science. Scientific production and research potential
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properties? Can both magnetic field strength (remanence) and magnetic field resistance (coercivity) be optimized at the same time by tuning the particle shape? In collaboration with a PhD-student at Aarhus
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and underwater optical communication Supervise BSc and MSc student projects, and be co-supervisor for PhD students Data analysis, writing of scientific articles and presentations at conferences and
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internationally. Engaging in the mentorship and supervision of BSc and MSc student projects, co-supervising PhD students. Contributing to the teaching at the department as a way to improve your teaching portfolio
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. Responsibilities and qualifications You will work with a team of senior scientists, postdocs, and PhD students in close collaboration with academic and industrial collaborators. Your primary tasks will be
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. The ideal candidate is expected to have a very strong background in machine learning and must have a PhD in machine learning (or a closely related topic). Furthermore, the candidate must have experience with
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. The position will start on 1 June 2024, or later and be for 1 year. The candidate should hold a PhD degree in Computer Science or a related field and have a strong record related to any of the following research
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participate in the academic community by teaching and supervising BSc and MSc students at DTU. You will also have the opportunity to support the supervision of PhD students within the department. The following
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, The ability to communicate at all levels in English. As a formal qualification, you must hold a PhD degree (or equivalent) in natural science involving analysis of large data sets. We offer DTU is a leading