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theoretical physics, he looks at how unconventional computing systems can be used to create energy efficient hardware for AI applications. He has particular interests in unconventional machine learning
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& environmental science. Project description This study aims to investigate the pivotal role of wind turbine owners’ decisions and policy alternatives for enhancing the integration of offshore wind energy into
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This study will investigate the pivotal role of wind turbine owners’ decisions and the policy alternatives aimed at increasing the integration of offshore wind energy into electricity grids. In
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fusion reactions and alpha particle energy deposition. This involves coupling particle based MC codes to the fluid code with quantifiable estimates of uncertainty. The project is part funded and supervised
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Background: The UK and the World are rapidly shifting towards multi-energy systems, such as districts and industrial parks with large amounts of renewable electricity, renewable heating & cooling
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The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working
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Project summary: This project will investigate the relationship between population ageing and the energy transition. It aims to quantify the impact of ageing on energy uses and emissions
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these challenges by developing, testing, and validating a systematic methodology to understand and quantify energy performance of battery electric HGVs, with a focus on the performance of vehicle traction battery
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these challenges by developing, testing, and validating a systematic methodology to understand and quantify energy performance of battery electric HGVs, with a focus on the performance of vehicle traction battery
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Application deadline: 31/07/2024 Research theme: Offshore renewable energy; water waves How to apply: Please click the 'Apply' button, above. The design of offshore renewable energy systems should