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optimal control, robust control, distributed control, and model predictive control. A background in power system analysis, dynamics, control and/or converter control is considered a strong advantage
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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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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is
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Job Description We are seeking one or more highly motivated and talented Postdoctoral Researchers to join our team and contribute to our cutting-edge activities within photonic quantum computing
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characterize antenna- and metasurface-based solutions for both uniform as well as focused field distributions throughout dedicated and realistic examples of lossy media such as human tissue and fluid-cell
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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various types of quantum hardware, for e.g. information processing (such as distributed quantum computing), sensing, and for quantum security. It is expected to be highly advantageous if such a quantum
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development and deep understanding of infrastructure complexity. However, the shift towards a more distributed, renewable, and digital energy system introduces new dynamics and challenge existing paradigms