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networks, field-margin design and mitigation structures. Partners and collaboration BASF will support the studentship as the CASE partner, offering access to environmental datasets, industrial mentoring
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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spaces, before investigating the implications for urban decision-making and resilience. The PhD researcher will have flexibility in the design and implementation of the project, adjusting the focus based
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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, utilising cutting-edge technology to create low-cost and user-friendly sensors for deployment by citizen scientists. The project will involve co-designing the sensors with public stakeholders to ensure
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. This project leverages and advances these trends, targeting the development of multi-functional coatings to enhance EV battery safety. This PhD will design and characterise intumescent, dielectric, lightweight
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technologies. Metamaterials, engineered to exhibit properties not found in naturally occurring materials, offer an innovative pathway to overcome these limitations. By designing intricate periodic or quasi
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
ratio, corrosion resistance, and design flexibility. However, they are susceptible to complex internal damage under high-velocity impacts—such as delamination, fibre breakage, and matrix cracking—that is
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investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system