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reinforcement learning (RL) strategies to teach NMS models to execute a broad repertoire of movemets in presence of external disturbances. Info . Simulation-to-real-world transfer, where NMS model control
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, device modelling/simulation aspects of new tunnelling devices. By using dedicated electrical dc and RF measurement equipment within our measurement & test centre, you will develop and carefully analyse
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the developed models in commercial forming simulation software and validate their accuracy against forming experiments. We are looking for a colleague who is comfortable with experimental work, has experience in
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introduced into the PhD trajectory and scientific working. You will alongside the developers of UT’s global crop water model ACEA (Mialyk et al. 2024) and improve the model’s ability to provide recurring
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topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes for vehicle-integrated photovoltaics (VIPV) and PV-powered charging stations
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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks
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, or related fields Experienced, or willing to become an expert in the sustainable transformation of infrastructure and simulation models for socio-technical systems Proactive, showing initiative and able