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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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precipitation, leading to scaling within reservoirs and production wells that reduces operational efficiency. Predicting where these processes will occur is a challenge because they are controlled in part by
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branches and weights in the ground-motion logic tree Integrate ground-motion characterisation with seismic-source models in version-controlled PSHA workflows Job Requirements: PhD in Earthquake Engineering
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hardware. Building a low-latency query API that returns the end-to-end energy cost of an AI service. What you will deliver: Validated models with less than 10% prediction error on the Aalto and Ericsson
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GW’s physics-led modeling effort by integrating computational/theoretical chemistry, molecular simulation, data analysis, and predictive modeling to establish mechanistically grounded relationships
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Mainz on 18+19 January 2027. Starting date: 1 February - 31 July 2027 Where to apply Website https://www.imb.de/phd/apply Requirements Research FieldBiological sciencesEducation LevelMaster Degree
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational