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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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of more sustainable and safer aerostructure in next generation aircraft. It will impact research strategies and technology for maintenance regime and service operations in the future. The researcher gain
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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, Head of Group, or nominee. About You Candidates for this position should possess a degree in mechanical engineering, chemical engineering, or energy engineering, complemented by a PhD in a closely
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motivating alignment towards sustainability goals. Cranfield University provides the ideal environment for this research endeavour, offering a wealth of resources and expertise in engineering and digital
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facilities and interact with experts in Human Factors Integration (HFI), systems engineering, and system modelling. The research will culminate in developing software tools and engaging with a robotic testbed
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Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a student with an aerospace or mechanical engineering background. Experience
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(MSc / MEng) in Aeronautical or Mechanical Engineering. They should demonstrate proficiency in simulating transient fluid, mechanical, and electric system performance using software packages such as
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at Cranfield University. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials
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(MSc / MEng) in Aeronautical or Mechanical Engineering. They should demonstrate proficiency in simulating transient fluid, mechanical, and electric system performance using software packages such as