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26th June 2026 Languages English English English The Department of Energy and Process Engineering (EPT) has a vacancy for a PhD Candidate in AI for Hydrocarbon Process Systems Engineering Apply
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven approaches. The research will focus on fundamental thermomechanical and thermofluid phenomena relevant...
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UKRI Net2Zero CDT (Industry-Sponsored by Halocycle Ltd) - Advanced microwave technology development for low carbon PVC recycling The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured environments where terrain can change abruptly. However, formally certifying these opaque...
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researchers have extensive experience in doctoral education and supervision. More information about the department of Energy and Technology, SLU https://www.slu.se/en/departments/energy-technology/ Read more
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department of Energy and Technology, SLU https://www.slu.se/en/departments/energy-technology/ Read more about staff benefits and life as an SLU employee on https://www.slu.se/om-slu/jobba-pa-slu/ Read more
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) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
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Are you excited about applying mathematical modelling, optimization and control to accelerate the energy transition? In this PhD project, you will develop advanced Process Systems Engineering
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energy technology, applied optics, electronics and medical technology. The department hosts The Intelligent Human-Buildings Interaction (IHBI) Lab an interdisciplinary research hub pioneering novel
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This project addresses a fundamental question concerning material failure under neutron loading in fusion energy components, particularly within the first layer of the breeder blanket. Previous work at Swansea has developed a multiscale platform that combines Monte Carlo simulation of...