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verified using myriad methods. These verification approaches range from extensive testing and simulation through to formal proofs of correctness. When used in a corroborative fashion, the results
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design and implementation, conducting research, analysing data and sharing learning from the project. As such, the Research Fellow should have mixed methods research experience, particularly in conducting
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This PhD offers a unique opportunity to work at the intersection of formal methods, control engineering, and cybersecurity within the high-stakes environment of aerospace propulsion. You will be a
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Funding for: UK Students Research area and project description: Develop scalable acoustic methods to structure advanced polymer composites for lightweight, low‑carbon technologies. This PhD explores
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Application Deadline: 31 May 2026 Details This PhD offers a unique opportunity to work at the intersection of formal methods, control engineering, and cybersecurity within the high-stakes environment
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: Essential criteria 1. PhD qualified in Statistical Physics or related area, or PhD near completion 2. Experience in path integral formalisms 3. High level analytical skills 4. Evidence of
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process for use in public policy decision making. This PhD will explore the possibility of such an approach and test it in a real-world case study in public health. Aim: to explore methods of incorporating
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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design and implementation, conducting research, analysing data and sharing learning from the project. As such, the Research Fellow should have mixed methods research experience, particularly in conducting
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are currently underrepresented at this level in this discipline. We require an upper-second class (2:1) honours degree and a Master’s degree at high merit or above in a discipline directly relevant to the PhD