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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of
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PhD Studentship in Computer Science: Quantum-Safe Security for 6G Networks Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates
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support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the emergence of large-scale quantum computing poses a significant threat to current
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allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part of the CDT in Process Industries: Net Zero . Taylor–Couette technology exploits
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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of the CDT in Process Industries: Net Zero . Taylor–Couette technology exploits the controlled vortices formed between concentric rotating cylinders to generate intense, well-defined shear and mixing
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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. This research will directly contribute to more reliable, cost-effective and environmentally responsible floating wind technology, helping secure a sustainable, net-zero energy future. Number Of Awards 1 Start
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic Engineering Select ‘PhD Electrical and Electronic Engineering (full time)’ as the