12 phd-simulation Postdoctoral positions at Delft University of Technology (TU Delft)
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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simulations including heat pumps, buffer storage, and building demand. Using monitoring data from the experimental façade at TU Delft’s Green Village to calibrate and validate models. Investigating control
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durability against chloride ingress and carbonation; Predicting service life of precast SCC elements; Coupling experimental durability data with advanced numerical simulations. The researcher will be based in
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random transition time. Job requiements The successful applicant will have: Completed a PhD
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. Completed a PhD degree in a highly quantitative and analytical discipline (electrical engineering). Very good command of English, in both writing and speaking. You enjoy performing research. You are
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, and will play a key role in linking experiments with simulations from a companion PhD project. The work will involve close collaboration with industrial partners and is expected to provide both
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several key academic and industrial partners. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group
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part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our
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alternatives such as HBI, DRI, and scrap. These changes introduce new challenges in maintaining furnace stability, gas flow, and productivity. This PhD project focuses on developing and applying advanced