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Field
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Electrical Capacitance Tomography (ECT) to study the combustion processes of hybrid propellant propulsion systems. To perform inflight tests using the ECT as hardware in the loop to control O/F ratios in a
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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successes and proposes intelligent sensing and control solutions for automated robotic systems capable to be tele-operated using smart human-machine interfaces. This is an exciting PhD project that has a
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adapting their energy use, control strategies, and collective behaviours to enhance sustainability. The research aims to design AI-driven control and energy management frameworks that enable self-organising
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engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive industry transitions towards electrification, integrating novel fuels—such as hydrogen, ammonia, e-fuels, and
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-matter interactions control and optimisation. The PhD will advance our comprehension of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent
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state-of-the-art two-photon lithography followed by conformal metal deposition, we will fabricate diamond-bond 3D ASI structures with controlled bond angles and lattice spacings. The magnetic microstate
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manufacturing defects, such as dry spots, but also enable the development of real time control methods to adjust process parameters to maximise productivity and product quality. Working closely with