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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
for engineers. The aim is to move beyond data collection and develop intelligent methods that enable digital environments to understand and reason about real-world problems in safety-critical settings. To explore
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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are made by such techniques is still an open problem. Although these techniques have been successfully demonstrated in laboratory environments, however, the barrier to deploying such pure-data-driven black
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, including optimisation of the number/position/type of hardware. Cranfield overview and Sponsor Information/Background: We have a long history in space systems, having undertaken space studies since the 1960s
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enhance and develop world class skills in AI and Machine Learning and Communication Networks with application to hard and challenging AI problems providing a great skill set for employability after
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the aim to develop research excellence and address the research problems in the sector of Through-life Engineering services. TES Centre is providing its state of the art academic and research services
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to this position. The student will benefit from access to local resources, including Cranfield-based wind tunnels in addition to local and national computing facilities, such as CRESCENT2 and ARCHER2. The expected
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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-funded project and that there is no tuition-fee or maintenance bursary attached to this position. The student will benefit from access to local resources, including Cranfield-based and national computing