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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" This 3.5 year PhD is open to UK nationals. The...
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This fully funded PhD studentship is aligned with AURORA³, the new National Strategic Infrastructure currently being built at the University of Surrey to support cutting-edge research in audio, acoustics, and AI. AURORA³ will enable fast, accurate and reproducible data collection thanks to a...
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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R2T2 is a UKSA-funded doctoral training programme dedicated to academic research in rocket propulsion, with an emphasis on the acquisition of the practical skills required to pursue a career in the launch industry. R2T2 PhD programmes are already underway at nine UK universities, and the...
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We are seeking a motivated PhD candidate to work on an exciting project that will advance correlative microscopy and microanalysis methods for studying mineralised biological materials and industrially-relevant human-made materials. This project will address key priorities in the microscopy...
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Hydrogen is the most abundant molecule in the universe, and it’s interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel, to industrial catalysis and green energy production. The aim of this PhD project is to study hydrogen...
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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 role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for...
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation (developed by B.J. Evans, O. Hassan and K. Morgan). This solver directly solves the Boltzmann-BGK...
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A PhD studentship awarded by the Freeman Air and Space Institute (FASI) to support the Institute’s research and capacity building work in the field of air power. Award details In an increasingly volatile international security environment characterised by the return of great power competition,...