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write your thesis in the context of the research project ‘Tracing the Realities of Algorithmic Warfare: From Innovation to Deployment and its Impact on Civilian Harm,’ funded by the Research Foundation
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contributions to standardisation efforts. Your role This fully funded PhD position focuses on exploring and developing hybrid quantum-classical algorithms to tackle sustainability challenges. Key areas include
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control engineering, optimization algorithms Control of drones and flight experiments as well as knowledge in AI / Machine Learning would be an asset Outstanding academic records Teamworking experience, e.g
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knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Swarm intelligence Algorithmics Parallel/Distributed computing Space systems engineering
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discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Algorithmics Smart buildings Internet
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for space logistics. With the development of mathematical models and optimisation algorithms, we aim to support strategical, tactical and operational decisions in the context of the deployment of in-orbit
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”. These methods and algorithms will be applied in the fields of (customs) fraud detection, anti-money laundering, and/or misinformation detection, in collaboration with experts from the field. Thanks to
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explainable algorithms for these tasks, and as such also make contributions to the machine learning domain. Note that the data structure the candidate is expected to work on is mostly tabular data (rather than
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will enhance their design through model order reduction and artificial intelligence algorithms. This opens exciting new research horizons in the realm of modern power electronics with WBG devices
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build algorithmic and high-performance computing solutions to derive novel biological insights from mass spectrometry datasets, with potential applications in proteomics, immunopeptidomics, and