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56 Faculty of Mathematics Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 4199 The Faculty
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56 Faculty of Mathematics Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 4198 The Faculty
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56 Faculty of Mathematics Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2 Limited until: permanent Reference no.: 4426 The position We are looking for candidates with
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exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some of the most difficult problems in computational science. The ideal candidate will have
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one of these fields: Optimal Transport, numerical analysis of PDEs, functional analysis, mathematical foundations of deep learning, and measure theory. You can find more information about our research
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56 Faculty of Mathematics Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 4097 The Faculty
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high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Theory
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departments and faculties at the University of Vienna, whose focus lies on theory and applications in the field of data science and machine learning. The Faculties of Mathematics and of Computer Science, which
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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of robust machine learning (especially bit-flip attacks) in combination with graph learning, in particular using graph neural networks (evidenced by publications in top-tier journals or conference proceedings