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methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. Research competence & initiative demonstrated through international publications in peer
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working in the research group “Theory and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks
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Postdoc Research Group Schur
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prior exposure to modern developments in biomathematics and will also have a solid knowledge of mathematical analysis, partial differential equations as well as kinetic theory and will be able to take
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Postdoc Research Group Chatterjee
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with graph learning, in particular using graph neural networks (evidenced by publications in top-tier journals or conference proceedings). Excellent and up-to-date knowledge of typical machine learning
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the network architecture need to be to capture the solution accurately? In essence, we’re exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some
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administration The research should focus on data mining, e.g., clustering, representation learning, causality detection and graph mining. This is part of your personality: Master in Computer Science, Applied
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flows such as entropy dissipation. This is a chance to tackle cutting-edge mathematical and computational problems with real-world relevance, using modern approximation theory and machine learning
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group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms” at the department of Computer Science focuses on provable security of cryptographic schemes. We