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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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operational efficiency and sustainability in remanufacturing contexts This funded PhD studentship is open to highly motivated candidates with a strong background in Engineering or a closely related discipline
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common materials in new ways to build bespoke, miniaturised antennas using magnetic nanoparticle structures. Your designs will make it possible to integrate digital technology platforms in previously
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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include doped oxides or composites engineered to enhance ionic mobility while suppressing electronic conductivity. A key objective will be to understand the relationships between chemical composition
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from sequential to parallel laser writing, increasing fabrication rates by up to two orders of magnitude. Our vision: We will combine advanced spatio-temporal beam shaping technology developed by Mounaix
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), Engineering and Physical Sciences Research Council (EPSRC) , and the Peter Sowerby Foundation ; in partnership with Health Data Research UK (HDR UK) and the Economic and Social Research Council’s
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter