Tenure-Track Professorship in Computational Statistics and Data Analysis
Tenure-Track Professorship in Computational Statistics and Data Analysis
Tenure-Track Professorship in Computational Statistics and Data Analysis
Tenure-Track Professorship in Computational Statistics and Data Analysis
Universität Wien
Fach- und Hochschulen
Wien
- Art der Anstellung: Vollzeit
- 43.000 € – 50.500 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Tenure-Track Professorship in Computational Statistics and Data Analysis
Über diesen Job
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:
- 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):
- Letter of motivation
- 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
- List of publications
- link to your own publicly accessible ORCID record, with a complete and current publication list
- 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
- 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.