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Field
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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uncertainties make planning and decision-making more complex and difficult to optimise using conventional approaches. This project aims to develop advanced modelling and simulation frameworks to support decision
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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of operating reliably under severe thermal and chemical conditions. This will involve a combination of computational modelling, system design, and experimental testing to develop and optimise the printing
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
-modulated pulses, phase-coded sequences, parallel comb-based interrogation, and coherent multi-heterodyne detection. Design long-reach DAS system architectures that optimise signal to noise ratio, reduce
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aluminium windings in specific high-performance applications, the PhD work will be focused on developing novel motor topologies featuring CNT windings, including designing and testing of optimised prototypes
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, active power pulsations and magnetics optimisation. You will work with Dr. Tabish Mir and Dr. Alan Watson at University of Nottingham’s Power Electronics and Machines Centre, which is a purpose-built £18M