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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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described below? Are you our future colleague? Apply now! Education · A PhD in machine learning, AI, with a focus on application of AI on energy systems. Experience and skills · Strong
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The successful candidate will join the Serval research group and work on a large research project related to Machine Learning Security and Testing. The subject of the thesis will be “Real-World
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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5 Mar 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Country Luxembourg Application
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computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be
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) Optimisation algorithms (Quantum) Machine learning algorithms Algorithmics Parallel/Distributed computing Technical standardisation Strong analytical and programming skills (e.g., Python and C/C++) are essential
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities