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Responsibilities: Develop and optimize synthetic routes for redox-active and conductive MOFs. Investigate the electrochemical performance of these materials under diverse conditions and in various energy storage
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attitude, ability to work independently as well as in a team. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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building technology, HVAC system study and optimization, sustainable building design, and building energy modelling, for built environment applications is preferred. Knowledge in test instrumentation, PLC
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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. Ren, G. Yue, Study on solidification characteristics of bionic finned phase change heat exchanger and multi-objective optimization design, J. Energy Storage 86 (2024) 111105. https://doi.org/10.1016
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2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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, control, and optimization of power electronics or energy systems, enabled by artificial intelligence. We seek applicants who will contribute to our academic programs, promote transdisciplinary teaching and
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residential buildings against CIBSE, Passive House and WHO overheating criteria and recorded occupant satisfaction. Energy and Buildings, 303, 113571. https://doi.org/10.1016/j.enbuild.2023.113571 (opens in new