29 application-forms-"https:"-"https:"-"https:"-"Universidade-do-Minho" PhD positions at Cranfield University
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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manufacturing, aerospace, automotive electronics, and intelligent infrastructure, where reliability and adaptive behaviour are becoming mission-critical. Applicants should have a first or second class UK honours
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Leonard Felicetti Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a candidate with a background in
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date01 Jun 2026 Duration of award3 years EligibilityUK, Rest of world Reference numberCRAN-0022 Entry requirements Applicants should have first- or second-class UK honours degree or equivalent in a related
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opportunity to undertake an international placement. More details of the CDT WIRe can be found at www.cdtwire.com. It is an inclusive and diverse doctoral centre and welcomes applications from all highly
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meet the demands of industry. Ranked in the top five UK universities for commercial income for research, Cranfield is able to invest in and has become home to many world-class, large-scale facilities
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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at the edge. The project explores advanced topics such as TinyML, neuromorphic design, reconfigurable logic, and autonomous fault recovery, with applications ranging from aerospace, energy, and robotics
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
carbon fibre-reinforced polymers (CFRPs), are increasingly adopted in structural applications due to their superior strength-to-weight ratios and fatigue resistance. However, their layered, anisotropic