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for An enthusiastic, self-motivated, and resourceful candidate with a 1st or upper 2:1 degree in mechanical engineering, aerospace engineering, materials science, electrical engineering, or a related field. Desirable
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of Nottingham. Funding: The PhD studentship will cover (1) Tuition fees at UK (Home) rates (2) A tax-free stipend of up to £26,780 per annum (3) £4,000 Research training support grant Applications, with a
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: Starting October 2025, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can
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Net Zero 2050 goals, electric motors must undergo a transformational leap—from today’s typical power densities of 2–5 kW/kg to a step-change 10–25 kW/kg by 2035. The highest power dense motors today
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requirements: Applicants should have, or expected to achieve, at least a 2:1 Honours degree (or equivalent if from other countries) in Chemistry, Chemical Engineering or a related subject. An MChem/MSci-4-year
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-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon footprint. As future
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics
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. Who we are looking for Candidates must possess or expect to obtain, a 2:1 or first-class degree in Chemistry, Physics, Materials Science, Engineering, or related physical sciences discipline Funding
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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation