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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage
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this role you may be required to obtain UK Security Clearance. Funding This studentship is open to both Home and Overseas fee status students, however we are only permitted to offer a limited number of
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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mitigate the risks that contaminants pose to water security, human wellbeing, and biodiversity. This funded PhD studentship will work with conservation charities and citizen scientists to develop and
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blend of academic and industrial training, preparing you for diverse career pathways in research or industry · Cohort Experience: Build your research network through inclusion in a vibrant cohort of PhD
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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) and assess emerging governance opportunities and hurdles. England is facing growing challenges in long-term water security, with the Environment Agency predicting huge shortfalls in water supply in
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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Future 6G Non-Terrestrial Networks (NTNs) will integrate LEO, aerial vehicles, and terrestrial infrastructures to provide seamless global connectivity. However, rapid platform mobility, high doppler
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
energy systems. The global focus on safety, predictive maintenance, and lifecycle cost reduction. The rising availability of high-fidelity NDT data and accessible machine learning tools. In summary