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Project advert Video-based technologies can capture players’ match kinematic data. Recently, FIFA have implemented a video-based skeletal tracking system into their referee decision support
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
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Project advert This PhD will pioneer the first species-level monitoring framework using drone-based multispectral data fused with very-high-resolution satellite imagery (Pleiades Neo), powered by
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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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, leaving users vulnerable to data misuse and cyber attacks. Current AI-based security tools often act as “black boxes,” generating alerts without explanation, undermining users' trust and slowing adoption
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programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable, highly motivated and enthusiastic about advancing AI for societal impact. Qualifications A high
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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, clinical or community setting. Core skills include: Familiarity with relevant research methodologies, data management and clinical exercise guidelines. Effective time management, with the ability
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at Aston Martin Aramco Formula One and Manchester Met’s PrintCity. Collaborate with experts in additive manufacturing, material science, sustainability and data science, producing impactful research