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continuous market and ancillary markets. Develop stochastic forecasting methods for demand-side flexibility quantification. Integrate data-driven models into optimization models for optimal plant operation and
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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27 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering Research Field Engineering » Mechanical engineering Researcher
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Job Description The Structures and Safety Section at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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Section, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). We look for a talented, self-driven, and collaborative individual with a passion for tackling complex