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, memory, and energy requirements. The successful candidate will explore novel algorithms and model-design strategies that allow AI systems to operate effectively on edge devices, clinical environments
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed
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develop AI-driven methods for optimising disease surveillance and intervention strategies in dynamic, real-world settings. We will design an active disease surveillance and control framework based on a
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. The successful candidate will undertake a course in legal research methods during the first year as a full-time student. This provides training in legal research methodology and supports PhD students in designing
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Manufacturing is one of eight major themes at Cranfield University. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management
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networks perform well across UK towns and cities, where benefits are unevenly distributed, and how design or management interventions could enhance resilience and equity. A key component of the research will
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for Materials Lab: Our research in thePhotochemistry for Materials team is situated at the interface of organic synthesis, photochemistry and polymer science with the overarching ambition to meticulously design
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data from saltmarsh and mangrove estuaries. Evaluate the impacts of restoration design decisions in real estuary settings. Compare multiple estuaries to assess how context influences restoration outcomes
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researcher. The group contributes to the Electric Power Innovation for a Carbon-free Society Center (EPICS-UK ) and collaborates with academic and industry partners in the UK, USA, and Australia. Funding: The
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teleoperation, the student will: Design adaptive haptic guidance methods that respond to operator skill levels. Identify trajectory features that characterise expert performance for training robots. Develop