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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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Qualification Type: PhD Funding amount: Refer to advert Discipline: Engineering & Technology Materials Science Other Engineering Physical & Environmental Sciences A fully funded PhD studentship is
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Supervisor(s): Prof. Chaoying Wan, Prof. Steven Brown (Physics department) Stipend: UK or international Duration: 3.5 year Funding Eligibility: UK or international Start Date: 1st November 2026
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Mathematics or applied mathematics Physics Funding Details The award will cover the UK (home) tuition fee plus an annual stipend at the UKRI rate - £21,805 (2026/2027), for 3.5 years of full-time study and a
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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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, 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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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
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relevant to the proposed PhD project, including chemistry, materials science, engineering or physics. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of
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next generation of physics-based degradation models grounded in measured rather than assumed parameters. This project offers a rare combination of fundamental scientific depth and clear industrial
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of full-time study. Eligibility: This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences