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Universität Wien invites applications for a tenure-track Professorship in Data Driven Partial Differential Equations within the Faculty of Mathematics. The successful candidate will complement ongoing research in applied and computational PDEs and contribute to teaching at bachelor, master and doctoral levels.
The role emphasizes development of numerical methods, data-driven techniques, and potential applications in biology, materials science, and astrophysics.
Organisation/Company Universität Wien Research Field Environmental science » Other Biological sciences » Zoology History » Archaeology Researcher Profile Recognised Researcher (R2) Application Deadline 15 Sep 2026 - 00:00 (UTC) Country Austria Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective.
The Faculty of Mathematics at the University of Vienna invites applications for a
Tenure-Track Professorship in Data Driven Partial Differential Equations
56 Faculty of Mathematics
Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2
Reference no.: 6005
We are looking for outstanding scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their applications.
The successful applicant is expected to complement the faculty’s ongoing research activities in the field of applied and computational PDEs. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent conditions for doctoral training at the highest level in all areas of mathematics and promotes interdisciplinary and intradisciplinary cooperation.
We expect the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor's programmes and for participation in university committees.
We offer: