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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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-driven methods to improve the reliability of monitoring systems used for energy efficiency and resource optimization. Your profile Master's degree in Electrical Engineering, Industrial Engineering
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, physics and chemistry. Our goal is to combine data-driven modelling, theory, and experiments to accelerate the discovery of materials for future technologies. You will join a multi-cultural and cross
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems
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disturbances or cyberattacks, such as sensor manipulation, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how
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(mainly developedat UEE). In particular the scientific program consists of the following tasks: – Modeling dissolution and precipitation of carbonate minerals within the caprock driven by diffusive and/or
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows