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Early and accurate cancer detection remains a critical global healthcare challenge, with profound implications for patient outcomes and treatment strategies. While Time-of-Flight Positron Emission
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Early and accurate cancer detection is a major global healthcare challenge, with significant implications for patient outcomes and treatment strategies. Time-of-Flight Positron Emission Tomography
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beneficial. Ability to communicate clearly at a technical level and capability of clearly summarising objectives and achievements for briefing colleagues and project partners is also essential. Candidates
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innovation and find diverse applications across industries such as aerospace, energy, and automotive. Among its various techniques, wire-arc directed energy deposition (WA-DED) stands out as a highly promising
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, socially aware multi-agent systems. Key objectives include designing LLM-guided swarm behaviours that respond to human cognitive or emotional states and creating natural interfaces that allow operators
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of the challenges is fault detection and diagnosis of bearings subject to low (rotational) speed. As vibration/acoustic signals generated by the faults of low-speed bearings are very weak and often covered by strong
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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, machine vision, and AI techniques, enabling rapid, accurate detection of deviations from original or inferred design specifications to support hardware assurance in critical electronic systems. Why
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Hardware Security and Embedded Resilience – Explore AI-powered hardware security primitives, anomaly detection, and self-healing mechanisms for IoT, cyber-physical systems, and mission-critical applications
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands