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recycling programs, resource allocation, and waste management. By enhancing decision-making, it will foster more resilient economies and contribute to sustainable circular practices, ultimately reducing
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processes in national security and defence, and have broader applicability in sectors such as aerospace, automotive, and medical technology, where secure, reliable electronics are essential. The project will
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. This will include conversion calculations, deducing tax implications. Due to the various type of vehicles used for aircraft refuelling, it is mandatory that applicants hold a valid HGV Class 1 licence. Please
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activities. You will contribute to a high-impact global mission addressing the UN Sustainable Development Goals, gaining exposure to real-world technology application at the interface between laboratory
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renewable energy, AI-driven engineering, and industrial research. Cranfield’s expertise in wind energy systems, predictive maintenance, and AI applications provides an ideal environment for cutting-edge
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. These are directly applicable to roles in offshore engineering, digital safety systems, renewable energy consultancy, and academia. At a glance Application deadline26 Nov 2025 Award type(s)PhD Start date26 Jan 2026
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
complex engineering data and deliver insights that are robust, adaptable, and applicable across complex, high-value, safety-critical domains. This research will contribute to shaping the next generation of
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to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.
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to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.
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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