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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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with colleagues at University of Surrey to develop new understanding on ion-exchange membranes, focussing on developing novel environmental-controlled terahertz spectroscopy, systematic experimental
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fidelity software-based simulation tools to advance the design, optimisation and manufacture of magnetic field shielding and control systems for a diverse range of applications. These field control
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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. Develop and enhance advanced optimization algorithms for the Energy Management System (EMS), addressing energy dispatch, storage control, load scheduling, and strategies for market participation. Architect
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/experimentation. • Design and develop an intelligent and optimal switching strategies, control techniques, and energy management system (EMS) for the energy efficient and reliable operation. • Perform HIL
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI