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-driven thermal design and optimization, the other on CFD-driven digital modeling and thermal prediction. The two postdocs will work in close interaction. Expected start date and duration of employment
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
accompanied by a digital thermal model suitable for real-time prediction and control. The two positions are closely coupled. One focuses on physics-driven thermal design and optimization, the other on CFD
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Are you interested in data-driven modelling and optimisation of District Heating Systems and can you contribute to the development of our Villum Synergy project, “ Recycling waste heat: Graph-based
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: Managing digital workflows from scanning to finished product Ensuring high quality and proper documentation in the manufacture of custom-made medical devices Driving the optimisation of software
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learning for material characterisation and property prediction, finite element modelling, structural optimisation, and experimental testing of timber, bonded interfaces and laminated components. The
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; validation of the developed methods via experimental tests; optimisation of the communication interface for aerial robots. Your profile Applicants should hold a master’s degree in electrical
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areas: * Quantum algorithms * Quantum circuit synthesis and optimisation * Gaussian boson sampling * Topological quantum computing * Quantum error correction * Fault-tolerant quantum computing * Quantum
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of the following areas: * Quantum algorithms * Quantum circuit synthesis and optimisation * Gaussian boson sampling * Topological quantum computing * Quantum error correction * Fault-tolerant quantum
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areas: * Quantum algorithms * Quantum circuit synthesis and optimisation * Gaussian boson sampling * Topological quantum computing * Quantum error correction * Fault-tolerant quantum computing * Quantum
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in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only applicants who demonstrate substantial hands-on experience