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excitation from the propeller. To ultimately remove the need for a torque flange, the estimation method must be integrated into the embedded engine control system. The work will make use of industry
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the product life cycle by: Reducing material usage during manufacture. Improving electrical system efficiency and power-to-weight ratios during operation. Enhancing recyclability and resource recovery
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Closing Date: Open Until Filled Programme Length: 4 Years Start Date: December 2026 Project Overview This fully funded PhD project aims to develop and evaluate a novel hybrid energy system
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Protected Volume estimation, navigation, decision-making, and control modules within a simulation-based validation framework. Develop methods to estimate the maximum safe operational capacity for drone
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to develop and evaluate a novel hybrid energy system integrating gas turbines, low-temperature carbon capture, biomass gasification, and advanced solar thermal technologies to enable carbon-negative
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, each robot experiences different environments, sensor calibrations and operating conditions. These distribution shifts and mismatches in system information can quietly erode model performance and
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researchers working on battery modelling, ageing diagnostics and energy-system analysis Your Profile A university Master’s degree in electrical engineering, control engineering, mechanical engineering
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DPhil in Computational and Translational Neuroscience, Department of Psychiatry, University of Oxford · October 2027 The ERC-funded ROSETTA project introduces a 'functional coordinate system' for the
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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honours preferred), MSc or equivalent in Mechanical, Electrical Engineering, Control Engineering, Aerospace or Computer Science. Good mathematical background and experience with Matlab/Simulink, C