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The University of Vienna is seeking a Postdoctoral Researcher in Mathematics to contribute to innovative research in numerical analysis of Partial Differential Equations. This role involves collaboration with a leading research team focused on advanced methodologies and offers a supportive and inclusive working environment. The position is ideal for highly motivated candidates with a strong mathematical background and a commitment to academic excellence.
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an
56 Faculty of Mathematics
Job ID:3516
The Faculty of Mathematics at the University of Vienna is the largest Austrian institution of mathematical research and tertiary education in the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete applications in industry. As part of the Faculty, the Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields.
We are looking for an open, innovative, and productive colleague who enjoys working in an international and interdisciplinary environment. Does that sound like something for you? Apply to join our team!
We're excited to invite applications for a University Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges.
The candidate will join a research project on the Fokker-Planck equation—also known as the Kolmogorov forward equation— which is a fundamental Partial Differential Equation (PDE) that captures the time evolution of probability distributions in systems driven by stochastic processes with Brownian motion. It plays a crucial role across a wide range of fields, from physics and biology to finance and engineering. But there's a catch: in most real-world scenarios, this equation lives in very high-dimensional spaces, making its numerical solution a serious computational challenge. This project aims to tackle that head-on by developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain efficient even in high dimensions, effectively pushing back against the curse of dimensionality.
The ideal candidate will have prior exposure to modern developments in at least one of these fields: numerical analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. You can find more information about our research area and our team on the website: http://www.olgamula.com. As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics and projects in our group meetings.
The starting date of the contract is negotiable, but it should take place between the 1st of September 2025 and the 1st of February 2026. The employment period is for 4 years from the beginning of the contract.
Active participation in research, teaching & administration, which means:
o Development of own solutions as part of the research group of Prof. Olga Mula.
oWillingness to participate in conferences and congresses.
o Participation in the administration of the institute, teaching, and research.
oHolding courses and examinations in accordance with the provisions of the collective bargaining agreement.
o Willingness to (co-)supervise students.
Is your interest in this attractive and varied field of activity with autonomous areas of responsibility now aroused? Would you like to take on this new challenge? To
actively contribute to the current and future major scientific issues of the research team around Prof. Mula and, above all, to become even better at what you can already do?
either:
radu.bot@univie.ac.at
We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity . We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.