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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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supervision committee of three experts for every student A topic of broad interest for the machine learning and neuroscience communities How to apply... Applications should include: Curriculum Vitae Cover
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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 Swarm intelligence Algorithmics Parallel
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Computer Science, Civil Engineering, or any related engineering discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms Machine
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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