Tenure-Track Professorship in Data Driven Partial Differential Equations

Tenure-Track Professorship in Data Driven Partial Differential Equations

The Faculty of Mathematics at the University of Vienna invites applications for a Tenure-Track Professorship in Data Driven Partial Differential Equations.

The position

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 applications including biology, materials science, and astrophysics, and uses approaches such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques.

Applied and Computational Partial Differential Equations

Your academic profile:

• Doctoral degree/PhD
• Two years of international research experience during or after doctoral studies
• Outstanding research achievements, excellent publication and funding record, international reputation
• Gender and diversity competence
• Experience in designing and participating in research projects, ability to lead research groups and acquire third-party funding
• Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level

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:

• The opportunity to obtain a permanent position and eventual promotion to full professor
• A dynamic research environment
• A wide range of research and teaching support services
• Attractive working conditions in a city with a high quality of life
• An attractive salary according to the Collective Bargaining Agreement for University Staff level A2 and an organisational retirement plan

Application documents in English:

• Letter of motivation
• Academic curriculum vitae including education and training, positions held, career breaks, awards and honors, commissions of trust, cooperation partners, third-party funding, scientific talks, teaching and mentoring, and supervision experience
• List of publications including ORCID record and three key publications
• Research statement with research achievements, planned research activities, synopsis of key publications and publication strategy
• Teaching and supervision statement including teaching evaluations if available

If you have any questions, please contact:

berufungsservice@univie.ac.at. Only applications submitted through the link Apply now will be considered.

Application deadline: 09/15/2026 Reference no.: 6005