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and smart Grid-level energy optimisation, in the context of e-mobility and sustainable transport systems? Do you want to further your career in one of the world leading research institutions in
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pushing forward the state-of-the-art in innovative bi-directional charging and smart Grid-level energy optimisation, in the context of e-mobility and sustainable transport systems? Do you want to further
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Are you a researcher looking for your first challenge? Do you have a background in smart grid operation and control? Do you want to further your career in one of the UK’s leading research-intensive
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and develop machine learning and mathematical optimization solutions for electric vehicle (EV) fleet charging scheduling problems with considerations of various smart power grids, battery degradation
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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the electrical and electronic engineering industry and preferably is familiar with smart electrical power grids. Prior knowledge on solar photovoltaic and energy storage systems would be an advantage. Experience
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge
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equivalent from a recognized University. Minimum 1 year of relevant experience in the electrical and electronic engineering industry and preferably is familiar with smart electrical power grids. Prior
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to improve their careers in research and innovation to respond to the developmental needs of Jordan. Fellows will be undertaking research projects in the areas of Energy Systems with AI and Smart Grids