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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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–microstructure–property–performance simulation platform, and (iii) a theoretical framework for design of AM-defect tolerant microstructures. The focus of the current postdoc position will be on applying all
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the department’s competencies in advanced modelling and control of buildings' energy systems, e.g., heating, cooling, and ventilation systems using IoT technologies. You will collaborate closely with academic and
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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, district heating systems and energy communities Modelling and testing demand response of district heating systems, e.g., peak load reduction and return water temperature reduction Developing and evaluating