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materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production
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Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical
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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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the fundamental understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting the most physically sound thermodynamic model for water and electrolytes
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system, and the research will interact closely with the quantum computing team. We expect you to be intrigued by the potential of using synthetic dimensions and quantum optics to explore the physical world
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-time political science program, Engage in knowledge exchange activities with the wider society, Engage in and contribute to a good working environment at the section and the department level. For
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems