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of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
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Major incidents place exceptional demands on health, emergency and public protection systems, requiring rapid, coordinated action across Category-1 responders, including the NHS, local authorities
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of materials science, combining ab initio density-functional theory (DFT) calculations with novel ML methods. You will develop ML-assisted computational screening methods, building highly accurate models
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD project aims to investigate the integration of Theory of Mind (ToM) reasoning into autonomous agents to improve
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About the project: Developing a Theory of the Magnetic Fingerprint of Stress in Materials Supervisor: Dr Chris Patrick, University of Warwick In the development of sustainable materials and
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systems? In this project, we will partially address these questions and study prototype LC systems e.g., LCs inside shells, cylinders, cuboids etc. within the celebrated Landau-de Gennes theory for LCs
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Microlocal analysis explores the classical/quantum correspondence in partial differential equations (PDEs). For example, the concept of symbol quantisation in the theory of pseudodifferential
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applications remains an open scientific problem. The Project: This PhD studentship is the computational component of a wider research project to generalise boundary-layer theory to include engineered surfaces
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A Unified Framework for Reservoir Computing: From Theory to Real-World Systems Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This