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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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cybersecurity Please note, this is open to home students only. PhD Studentship: CyberQuarter. The Studentship is available for an October 2025 start. A PhD studentship that comprises tax-free stipend of £20,870
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for Encrypted IoT Traffic Please note, this is open to home students only. PhD Studentship:cyberQuarter funded. The Studentship is available for an October 2025 start. A PhD studentship that comprises tax-free
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board development to support local AI in ATMs for enhanced security. Please note, this is open to home students only. PhD Studentship:cyberQuarter. The Studentship is available for an October 2025 start
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materials in van der Waals heterostructures, enabling control of superconductivity via external electric fields. To achieve this, the PhD researcher will combine first-principles calculations and effective
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important topological structures thought to contain the essence of confinement. This project will use a first-principles approach in which large-scale simulations of QCD are performed on a discretised
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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to increase each year. The start date is 1st October 2025. Industrial filtration felts are constructed using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands
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and deterministic AI outputs is critical. This requires robust design principles and architectural changes to reduce variability and integrate smoothly with industrial control systems. Enhancing