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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 will be made by Associate Professor Christian Damsgaard, Professor Jakob
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chemistry at the Department of Chemistry, DTU from February 1, 2026 or soon thereafter. The fellowship is funded by DTU and will be carried out under the supervision of Professors Sebastian Meier and Robert
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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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will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must hold a two-year master's degree (120 ECTS points) in Robotics, Electrical Engineering, Computer Science
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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to conduct interdisciplinary research at the interface between quantum physics and life sciences. Most importantly, we value intellectual curiosity, creativity, and the drive to do excellent science. What we
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candidate must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
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The assessment will take into account the following criteria: Willingness and ability to spend one year in Australia as part of the Alliance PhD program is mandatory. Experience with process technology and
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structures. Responsibilities and qualifications You must have an academic background equivalent to a Master’s degree in Civil Engineering, Structural Engineering, or Geophysics. To be successful in
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling