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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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, the College of Technology and Environment , and the College of Society and Professions . These opportunities are ideal for highly motivated individuals with a strong academic background and a keen interest in
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. Study modes eligibility: Full Time Fee Status: Home (Scottish) Rest of UK The Channel Islands & Isle of Man Project Details: The project aims at researching a new sustainable femtosecond laser
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Tomography (ToF-PET) offers vital functional and molecular insights for improved cancer staging, its current capabilities are often limited by the timing resolution and sensitivity of existing detector
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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cost-effective way to dramatically increase the performance of launch vehicles. Electric orbit raising kick stages have not seen widespread use due to the low thrust of electric propulsion (EP), leading
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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at engineering or technical managers to plan and execute project activities for hardware and software engineers. The guidelines and specifications will allow hardware and firmware engineers to develop proof
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system