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embedded in our University of Birmingham group of Meteorology and Climatology (https://www.birmingham.ac.uk/research/activity/environmental-health/areas/meteorology-climate ). The University of Birmingham is
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, University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing line and testing platform at PEMC. Motivation As the mass transportation sector is moving towards
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing line and testing platform at PEMC. Motivation As the mass transportation sector is moving towards electrification
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We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Opportunity Based in the Faculty of Education, this is an excellent opportunity for a talented and
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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In collaboration with Burnley FC Women and Manchester Metropolitan University, this is an opportunity for a 3-year PhD studentship embedded within the senior women’s first team. The PhD studentship
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-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
industry today is how to turn vast, unstructured maintenance data into timely, actionable insight that supports safer, more efficient engineering decisions. This project will address that need by embedding