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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
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technologies, and sustainable aviation. Your research will directly support the global decarbonisation efforts, shaping your future as a skilled innovator and inclusive leader in sustainable aerospace
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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in industry (EV vehicle manufacturers, automotive, aerospace, etc.), academia, and EV safety research. At a glance Application deadline01 Oct 2025 Award type(s)PhD Start date26 Jan 2026 Duration
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also be applied in other sectors facing extreme material challenges, such as Aerospace and Defence. The student will benefit from direct collaboration with UKAEA, gaining exposure to cutting-edge fusion
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aerospace, healthcare, and industrial automation. In safety-critical domains, such as aviation and medical devices, rigorous certification processes and continuous lifecycle monitoring are essential to ensure
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well-positioned for careers in academia, autonomous system and aerospace industries. At a glance Application deadline01 Oct 2025 Award type(s)PhD Start date26 Jan 2026 Duration of award3.5 years
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at the edge. The project explores advanced topics such as TinyML, neuromorphic design, reconfigurable logic, and autonomous fault recovery, with applications ranging from aerospace, energy, and robotics
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AI-electronic systems with applications in aerospace, healthcare, and beyond. As AI systems become increasingly integrated into critical applications, ensuring their security and trustworthiness is