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motivated PhD student to join our interdisciplinary team to help address critical challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make
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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical
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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview Advancing the sustainability of electric machines, even incrementally, can
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Funding amount Minimum tax-free stipend at the current UKRI rate is £20,780 for 2025/26, and RTSG £7000 Hours: Full-time Closing date: 30 October 2025 The project: This PhD studentship is an
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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3 Year, full-time funded PhD Studentship Eligibility: Home UK/EU and International applicants Bursary p.a.: Bursary equivalent to UKRI national minimum stipend plus fees (current 2025/26 bursary
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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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of your current level of study, academic background, any relevant experience and your motivation to study this PhD project. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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. Early diagnosis and an accurate characterization of disease progression are critical for treatment and improving patients' quality of life. However, current methods rely on expensive and time-consuming