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PhD Studentship: A continual learning approach for the development of robust robotic control systems
A continual learning approach for the development of robust robotic control systems This project is an exciting opportunity to undertake industrially linked research in partnership with
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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REACTOR DESIGNS FOR THE SUSTAINABLE PRODUCTION OF LIGNIN-DERIVED END-PRODUCTS VIA DEPOLYMERISATION REACTIONS This exciting opportunity is based within the Advanced Materials Research Group
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control of the electrical power system for aircraft applications, ensuring system stability across a wide range of nonlinear loads and operating conditions. Aim You will have the opportunity to research and
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offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University
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in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing
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Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing platforms at both locations
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-sponsored by UK’s leading semiconductor manufacturer Dynex Semiconductor for an exciting research project below: Vehicle electrification is urgently needed to reduce the CO2 emissions of conventional vehicles
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop