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Tenure-Track Professorship in Computational Statistics and Data Analysis(m/w/x)

University of Vienna
Wien

You teach and conduct research at various academic levels, contribute to foundational studies in statistics, and create a dynamic research environment while pursuing external funding.

Anforderungen

  • •Doctoral degree/PhD
  • •Two years of international research experience
  • •Outstanding research achievements
  • •Gender and diversity competence
  • •Experience in designing research projects
  • •Enthusiasm for excellent teaching
  • •Proficiency in German for teaching

Deine Aufgaben

  • •Contribute to mathematical foundations of study programs.
  • •Participate in and lead research projects.
  • •Acquire funding from third-party sources.
  • •Teach and supervise students at all academic levels.
  • •Support a dynamic research environment and teaching services.

Deine Vorteile

Permanent position opportunity
Dynamic research environment
Research and teaching support
Attractive working conditions
Salary according to agreement
Organisational retirement plan

Original Beschreibung

# 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. ## 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) ## 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. **​Application deadline:** 09/17/2025 **Reference no.:** 4416 Tenure Track Professorships
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