27 phd-position-in-image-processing PhD positions at The University of Manchester in United Kingdom
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-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants and EU applicants with indefinite leave to remain. The successful candidate will receive an annual tax-free stipend set at
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the project is open to home students; the successful candidate will receive an annual tax free
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apply early as the advert will be removed once the position has been filled. We are seeking a highly motivated and talented PhD student to join a multidisciplinary project focused on the design, chemical
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Application deadline: 30/11/2025 This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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Deadline: All year round How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is open to home students; the successful candidate will receive an annual tax free stipend
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. Funding is for home students, but overseas students may be eligible in exceptional circumstances. The start date is January 2026. There is one funded position available. A fully funded PhD studentship is
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Deadline: 12.12.25 How to apply: https://uom.link/pgr-apply-2425 For UK students This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful
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exposure, and steep voltage gradients (high dV/dt) from inverter-fed systems, pose significant challenges to insulation reliability. This EPSRC iCASE PhD project sponsored by Siemens Gamesa Renewable Energy
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models