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physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
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for channel estimation, beamforming, and real-time network optimisation. The goal is to enable adaptive 6G systems with improved reliability, energy efficiency, coverage, and resilience in complex and dynamic
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removed before the deadline. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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environments, and distributional shifts. The research will combine probabilistic modelling, network-based representations, and modern AI methods to enable scalable and interpretable decision-making in complex
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the supervision of Professor Rosemary Dyson, in the School of Mathematics (in the College of Engineering and Physical Sciences), and interface with the SUM4Products Network. Background The formulated product sector
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Title: The thermomechanical behaviour of energy piles under complex loading conditions PhD Studentship: Fully-funded PhD Studentship available for a February start. A PhD studentship that comprises tax
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% of the UK’s electricity and are central to achieving net-zero targets and ensuring the resilience of national grid infrastructure. Preventive maintenance enabled by condition monitoring systems (CMSs) plays a
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the benefit of daily aspirin on cancer risk. John and Richard have a global network and sit on the boards of several national / international expert bodies shaping healthcare research and guidelines
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Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics