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UK only This 3.5-year PhD is fully funded by The University of Manchester for UK (Home) students only. Funding for this project covers tuition fees, UKRI minimum annual stipend (currently £20,780
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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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not mandatory, but a high-quality publication is helpful to strengthen an application, particularly for overseas candidates seeking studentship funding at the University of Manchester. To apply, please
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Application deadline: 14/11/2025 Research theme: HVDC, renewable energy, power networks, modelling How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK
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Research theme: HVDC, renewable energy, power networks, modelling How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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) criteria. Using systems engineering, digital engineering, and lifecycle modelling, the research will reveal interdependencies and trade-offs to support responsible decision-making in mission design and
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to the design of aircraft, wind turbines and medical devices, and for modelling the environment. Remarkable advances in computing driven by the exponential miniaturisation of transistors (Moore’s law) have
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selection and policy decisions to minimize environmental impacts, resource consumption, and long-term radiological risks. This research involves a cooperation between TalTech and the University of Manchester
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in