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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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Fellow in power systems to conduct research on energy management, electricity markets, renewable energy, smart grids and microgrids. The Research Associate/Research Fellow is also expected to support
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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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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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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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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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grid. To explore the post further or for any queries you may have, please contact: Professor Kang Li , Chair in Smart Energy Systems Tel: +44 (0)113 343 2045 Email: K.Li1@leeds.ac.uk Please note that
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, digitalisation of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon districts. ERI@N has grown to be a centre-of-excellence for advanced research, development, and
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, digitalisation of the energy system enabling a ubiquitous smart grid architecture and establishing low carbon districts. ERI@N has grown to be a centre-of-excellence for advanced research, development, and
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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