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coaching PhD and Master's students and working in a dynamic, interdisciplinary team. A proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in
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on power systems and optimization/machine learning techniques. The position is also open to candidates at the final stage of their PhD who have not defended yet. Ability to conduct high quality
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safe communications, as well continuous and discrete variable QKD transmitters and receivers (based on electronic and photonic integration technology). At TU/e, QKD systems have been developed to run
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; (ii) considerable reduction of power consumption and cost; (iii) autonomous network control management exploiting artificial intelligence / machine learning (AI/ML) for ultra-high-capacity multi-domain