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challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in
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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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, process simulation Strong modelling, both multi-physics and data driven, skills Structured, analytical, and user-focused Proven ability to work across disciplines and collaborate with industrial and
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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
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flow modelling and simulations Responsibilities and qualifications The nature of these projects suggests that you should have a strong interest in interdisciplinary research, including coupled physical
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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