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to test and validate advanced control strategies in a full-scale operational building. The building will be equipped with a comprehensive sensor network, including access to real-time camera-based occupant
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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to undo past injustices and enable transition to net zero. About the Role You will be advancing the development and application of socio-technical systems thinking and justice principles to ensure
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), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors
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mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test
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candidates/candidates who are in the closing stages of their master’s degree can also apply Solid background in artificial intelligence and machine learning, including deep neural networks Programming
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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related to low carbon energy and transition to net zero. Our engineering photonics team is one of the UK’s leading optical sensing and instrumentation research centres, encompassing; fibre optic sensors
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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research network, participate in collaborative activities, and contribute to knowledge exchange across partner institutions. The position offers a unique opportunity to contribute to the development of new