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Field
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, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program offers excellent conditions for
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) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics Excellent command of written and spoken
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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 are particularly active and
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Research Technician– Kicheva group
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closley related discipline (completed or pending completion) A solid backround in statistics, mathematical statistics and probability theory as well as promising potential for original research Excellent
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Degree or equivalent Skills/Qualifications Completion of a master or diploma curriculum in a related field (e.g., mechanical engineering, electrical engineering, mathematics, physics, ...) Experienced
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responsible for theoretical and practical knowledge transfer in the fields of materials science and color chemistry, color and perception theory, documentation of art and cultural history objects, materials
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Master Thesis Position – Loose Research Group
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Recent advances in quantum materials research rely increasingly on the close integration of experimental and theoretical approaches. First-principles methods, particularly density functional theory (DFT
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interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation Theory and Machine Learning, can easily integrate into our team, independently