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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering
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that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent
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Engineering (PhD) Eligibility: UK Students Award value: Home fees and tax-free stipend £20,780 - See advert for details Project Title: Machine Learning and Optimisation-Based Intelligent Substation Design in
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equipment at the new IES laboratory focused on electrical power conversion for net-zero technologies. (Details available: eng.ed.ac.uk/about/news/20250130/offshore-renewables-lab-receives-ps2-million-grant
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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in edge intelligence for healthcare while gaining comprehensive training in both professional and ethical aspects of research. Number Of Awards: 1 Start Date: 1st October 2025 Award Duration: 4 years
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
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SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within
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researcher time and specialist knowledge which severely limits the rate at which new nanomaterials can be developed. Embracing digital technologies such as chemical automation and artificial intelligence offer