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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University
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should have: Undergraduate or Master’s degree in Economics or another quantitative discipline (completed by start date). Advanced programming skills in Python and either R or STATA. Willingness and ability
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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, conducting, transcribing, and analysing the results of semi-structured research interviews. Ability to work independently and in a small team. About the University Our University is a supportive, inclusive
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Excellent oral and written communication skills in English Strong problem-solving abilities Interdisciplinary computer science interests Ability to work independently and in a collaborative environment
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for mechatronics engineering work Working experience Application form and interview Competencies, Skills & Knowledge Ability to conceptualize problems and develop well-reasoned and logical viewpoints Fluent (verbal
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, transcribing, and analysing the results of semi-structured research interviews. Ability to work independently and in a small team. About the University Our University is a supportive, inclusive, caring and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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the School of Engineering’s Department of Electronic, Electrical and Systems Engineering. A primary focus of research within the department is to develop novel technologies [1,2] for emerging 5G/6G and