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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and
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, Mechanical or Automotive Engineering, Computer Science, Applied Mathematics or other related Engineering disciplines/ Physics. How to apply: Candidates should submit an expression of interest by sending a CV
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and group learning exercises throughout the PhD programme. The duration of the PhD is 4 years, and the start date is 1st October 2026. The PhD student will be physically located in Manchester within
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, or defect evolution modify electrical transport properties. While magnetic permeability effects will not be excluded where relevant, the central aim is to establish a robust, physically grounded conductivity
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-frequency eddy current sensor validated against real ROT measurements; (3) a real-time physics-constrained state estimator integrating JMAK transformation kinetics with the EM forward model; and (4) a model
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in more than one of the following topics will be a plus: Working knowledge of