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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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the relevant union. The period of employment is up to 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Martin Meedom Nielsen (mmee
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applications. The project will be conducted within the IDUN section, under the leadership of Prof. Anja Boisen, at the Department of Health Technology, Technical University of Denmark (DTU). IDUN is a vibrant
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synergy with another postdoc working on the same project, whose focus is on the development, demonstration and application of the functionalized quartz resonators integrated into a sensor prototype. If
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen), Oldenburg University (Prof. Stefan Debener), the Eriksholm
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rehabilitation strategies. The position is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen), Oldenburg University (Prof. Stefan
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and Ph.D. students. Research environment You will join the ‘Multiphysics Simulation and Optimisation’ (MSO) research group lead by Assc. Prof. Joe Alexandersen at SDU Mechanical Engineering (SDU-ME) in
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new diagnostic and rehabilitation strategies. The position is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen