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quality models for multilayer membranes, and 2) no robust and scalable methods for model-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter
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control tools (TEXTURISE project). The TEXTURISE main objectives are: - To identify the key factors (such as raw materials characteristics and processing conditions) influencing the structure building
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create ground-breaking mathematical tools for data-driven modelling and control of complex processes, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned
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the optimization-based methods (doi.org/10.1016/j.apenergy.2020.116152 ), 3- Weakness of the model-predictive-control (MPC) against HESS’s parameters uncertainties, noises, and disturbances (doi.org/10.2514/6.2022
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No. 3b1 Statement on having read the information regarding the processing of personal data The Data Controller of your data processed as part of open competitions for the position of an academic teacher is
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coordination. Previous experience in industry (energy, process industry) is an advantage. Scandinavian languages: considered a plus but not required. Specific Requirements PhD in Cybernetics, Control Engineering
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Your position Stacking and twisting atomically thin materials offers unprecedented control over their nanoscale magnetic, electronic, and optical properties. In this project, we will develop a novel
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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27 Aug 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Mechanical engineering Researcher Profile
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We