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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular, automated aircraft inspections using ground platforms) within the Faculty of Engineering
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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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engineering in semiconductor and metamaterial-based packaging. Self-Healing and AI-Enhanced Electronics – Develop AI-powered self-repairing and self-optimizing electronic components that enhance longevity and
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technologies. Metamaterials, engineered to exhibit properties not found in naturally occurring materials, offer an innovative pathway to overcome these limitations. By designing intricate periodic or quasi
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to slow transfer times. Magdrive are developing the high-thrust SuperMagdrive propulsion system targeting 1N or higher thrust equivalent to the smallest chemical propulsion systems. Magdrive technology
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to contribute to cutting-edge developments in technology that prioritise human-centred solutions and interdisciplinary approaches. This project aims to develop embodied AI systems that enhance human-swarm
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This self-funded PhD opportunity is open to both UK and international students with a strong background or willingness to develop expertise in offshore engineering, human factors, digital twin