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crucial for ensuring grid stability and economic operation in future high, medium transmission and low voltage power distribution networks. This integration introduces significant challenges in voltage and
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networking, computing and sensing. Quantum technologies exploit the unique properties of quantum physics to deliver functionality that cannot be achieved using classical physics alone. A key challenge is the
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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analytical research, or may involve a significant element of co-production with local stakeholders. Potential partner organisations for stakeholder engagement may include Cornwall Climate Action Network
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The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship funded by Faculty of Environmental Science. For eligible students, the studentship will cover