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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.

At the Faculty of Business, Economics and Statistics at the University of Vienna seeks to appoint a

Tenure-Track Professorship in Computational Statistics and Data Analysis

 

The position

 

We welcome applications from outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia, to the mathematical foundations of all study programs at the faculty, particularly within the Bachelor’s and Master’s programs in Statistics and Data Analytics.

In addition to the numerous professors at the Department of Statistics and Operations Research, there are strong links within the faculty to the Department of Business Decisions and Analytics, which also offers a Master’s degree in Business Analytics. The faculty also hosts the Oskar Morgenstern Doctoral School (OMDS), whose mission is to equip doctoral students with a theory-based approach complemented by modern empirical, experimental, statistical, and computational methods to address complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various departments and faculties 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 strong in research in these areas, are part of this network.

https://isor.univie.ac.at/

 

 

Your academic profile:

 

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:

 

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:

tenuretrack.personal@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.

University of Vienna. Space for personalities. Since 1365.

Data protection

​Application deadline: 09/17/2025
Reference no.: 4416

Tenure Track Professorships https://academicjobs.univie.ac.at/datenabfrage/TT0725WIWI01

Tenure-Track Professorship in Computational Statistics and Data Analysis

Tenure-Track Professorship in Computational Statistics and Data Analysis

    Wien
  • Vollzeit
  • befristet
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