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the actuator. This involves understanding the physics of the motor, the load it is handling, and the role of the servo-controller in the system. The focus is on managing different fault scenarios efficiently
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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is a technically challenging process due to the exponential number of variables that one has to account for, when making carbon footprint assessments for products and processes. The tools, methods
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Embarking on a pioneering journey, this project delves into enhancing real-time decision-making in evolving cyber-physical systems (eCPS), crucial in today's modern manufacturing landscape. Focused
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science
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systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve
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of water consumption and water pollution. Moreover, only 1% of the materials used in the production process of clothes are recycled back even though around 95% could be recycled. The industry is built
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and Cyber-Physical Systems Research Assistant in Human Augmentation with AI Fixed Term Contract until 14 March 2025 or for 9 months (whichever is sooner) Full time starting salary is normally in
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manufacturing and process or material science. About the Role This is an exciting opportunity for you to contribute to a new industry project funded by Airbus on the optimisation of next-generation landing gear