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complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused on thermal conduction in solid medium and often
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digital health systems. The project’s emphasis on explainability, traceability, and system integrity positions graduates as key contributors to the future of responsible AI deployment.
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on the chosen project based on the applicant's interests). The project’s AI-enhanced solutions will set new benchmarks for intelligent electronics across aviation, electrification, smart mobility, cybersecurity
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the global surge in demand for energy-efficient AI solutions, this research positions students at the forefront of technological innovation, equipping them with the expertise to lead in the development of next
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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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will be well-positioned for careers in a variety of sectors including academia and industry.
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encourage early submission, as the position may be filled before the stated deadline.
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This full-time PhD position is funded by SESAR and Centre for Assured and Connected Autonomy in Cranfield University. This department studentship will provide a bursary of up to £57,711 (tax free
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
professional and transferable skill development, preparing graduates for careers in aerospace, engineering, and digital innovation. Throughout the PhD, the student will develop a broad set of skills, from
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support the UK's ambition to lead global decarbonisation efforts, shaping your future as a skilled innovator and inclusive leader in sustainable aerospace technologies. Hydrogen-powered flight is set to