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 Mathematical Foundations of Data Science

The position

We invite applications from early career scientists with expertise in the mathematical foundations of data science. Candidates should have a strong background in theoretical research and demonstrated ability to advance foundational concepts. We particularly welcome applicants whose work also involves developing novel mathematical methods with applications to data science and artificial intelligence.

The position serves as a pivotal connection between the Faculty of Mathematics and the Research Network “Data Science @ Uni Vienna”. The successful candidate will collaborate with research groups at the University of Vienna engaged in fundamental research in data science, as well as those dedicated to developing practical applications utilizing data science techniques.

The Tenure Track professorship will be affiliated with the Faculty of Mathematics under the Key Research Area “Computational Mathematics and Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/). Within this focus area, there is expertise in fields that are of great important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will be associated with the Research Network “Data Science @ Uni Vienna” (https://datascience.univie.ac.at/), which promotes collaborations with scientists engaged in the fundamentals and applications of data science.

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 of 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; the initial contract as Assistant Professor is limited to six years, after positive evaluation of a qualification agreement the contract becomes permanent as Associate Professor; Associate Professors can be promoted to Full Professor through an internal competitive procedure.
• 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):

1. Letter of motivation
2. Academic curriculum vitae
   
   • education and training (PhD Certificate, PDF)
   • positions held to date
   • career breaks (e.g. relevant parental, family or other care periods)
   • awards and honors
   • commissions of trust
   • previous and current cooperation partners
   • complete list of acquired third-party funding and, if applicable, of inventions/patents
   • list of most important scientific talks (max. 10)
   • teaching and mentoring
   • supervision experience (Master and PhD), if applicable
3. List of publications
   
   • link to your own publicly accessible ORCID record, with a complete and current publication list
   • three key publications as electronic full text version (PDF, max 30 MB)
4. Research statement
   
   • most important research achievements (max. 2 pages) and planned future research activities (max. 4 pages)
   • synopsis of three key publications with relevance to the position advertised
   • publication strategy
5. Teaching and supervision statement
   
   • teaching and supervision concept, including a description of the previous and planned priorities in academic teaching and supervision (max. 2 pages)
   • teaching evaluations (if available, PDF)

If you have any questions, please contact:

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

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.

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​Application deadline: 12/10/2025
Reference no.: 4901