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An Information Theoretic Approach to the Smart Grid Department of Automatic Control and Systems Engineering PhD Research Project Self Funded Dr Inaki Esnaola Application Deadline: Applications
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Predictive and optimization-based control of smart grids: theory and algorithms Department of Automatic Control and Systems Engineering PhD Research Project Self Funded Dr P Trodden Application
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standard. The post holder will be affiliated with The Durham Smart Grid Laboratory. Currently the laboratory has over 20 researchers and is a leading research facility that brings together advanced
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. As a result, they are well suited for electric transportation applications such as electric vehicles and trains, and micro-grids employing renewable energy technologies. However, their widespread use
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knowledge in AI/ML for energy systems and smart grids are desirable. Knowledge in continual and multitask learning and the ability to write up research results for publication in high quality peer-viewed
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An Information Theoretic Approach to the Smart Grid
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intelligence, computer vision to power networks and smart grid. The Role Applications are invited for a Postdoctoral Research Associate in Power Systems, to work on a project funded by National Grid
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network design and human interaction, cloud, edge, fog and wireless networks. Additionally, the researcher will also be associated with the Durham Smart Grid Laboratory. Currently the laboratory has over 20
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, sensors and devices, industrial artificial intelligence, computer vision to power networks and smart grid. The Role Applications are invited for a Postdoctoral Research Associate in Wireless Communications
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three laboratories to support the work in this area, focussing on Smart Grid and Power Systems Modelling, Electrical Machines and the development of Power Electronics to support research across a range of