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in control theory, and/or optimisation and a strong interest in power systems Demonstrated ability to conduct independent research and publish in high-quality venues. Level B applicants will have: A
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of accession in the position. About the PhD-project Quantum theory is currently bringing a revolution to technology by introducing new concepts and advancements. However, many fundamental questions remain
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics. This position aims to advance the next generation of battery modelling and control strategies by combining
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Programming skills. Strong expertise in control theory. Strong publication track record. Self-Motivated and takes initiative Independent and can work well with a team Ability to adapt to changing priorities
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strong skills in data analysis, and have a strong background in the neuroscience, learning and memory, motor control, biomechanics, control theory, or a related field. Strong statistical understanding and
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will be and what theories and methods you will apply. It must be clear from the application in what way the postdoctoral project will add to your competence and scientific development. The motivation
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: Quantum simulation with Rydberg atom arrays (theory) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science, quantum
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, Julia. Understanding of one or more of the following areas would be an advantage Optimization Dynamic systems Control theory Power electronics Signal processing Machine learning and data science (various