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The Position
The applicant must have outstanding scientific qualifications and corresponding publications in highly ranked international scientific journals.
The applicant's research is expected to further strengthen the Faculty of Business, Economics and Statistics as an internationally renowned research institution. The applicant is required to be an expert in the fields of statistics and econometrics. His or her research should focus on areas of modern statistics and econometrics like, for example, identification, causality, inference, prediction or data analytics in general for nonparametric models, time series, cross-sectional or network data, also in high-dimensional, high-frequency, and/or misspecified scenarios. Proficiency in modern data science methods and their applications would constitute a fitting addition to the profile. Interest in applications in the faculty's research fields, in cooperation beyond the department and contributions to the university's strategic focus areas (see https://www.univie.ac.at/en/aboutus/at-a-glance/strategic-priorities/) are expected.
The applicant's teaching should contribute to the education in statistics and econometrics at all levels (Bachelor, Master's, Ph.D.). He or she is also expected to be willing to offer introductory level courses.
Your Academic Profile
We Offer
Please submit a single PDF file (LastName_FirstName.pdf) containing the following information in English via email to the Dean of the Faculty, Univ.-Prof. Mag. Dr. Karl Franz Dörner ([email protected]):
Reference no.: 01/2025
Application deadline: 17 September 2025
The applicant must have outstanding scientific qualifications and corresponding publications in highly ranked international scientific journals.
The applicant's research is expected to further strengthen the Faculty of Business, Economics and Statistics as an internationally renowned research institution. The applicant is required to be an expert in the fields of statistics and econometrics. His or her research should focus on areas of modern statistics and econometrics like, for example, identification, causality, inference, prediction or data analytics in general for nonparametric models, time series, cross-sectional or network data, also in high-dimensional, high-frequency, and/or misspecified scenarios. Proficiency in modern data science methods and their applications would constitute a fitting addition to the profile. Interest in applications in the faculty's research fields, in cooperation beyond the department and contributions to the university's strategic focus areas (see https://www.univie.ac.at/en/aboutus/at-a-glance/strategic-priorities/) are expected.
The applicant's teaching should contribute to the education in statistics and econometrics at all levels (Bachelor, Master's, Ph.D.). He or she is also expected to be willing to offer introductory level courses.
Your Academic Profile
- Doctoral degree/PhD
- Outstanding research achievements, excellent publication and funding record, international reputation
- Proven leadership qualities
- Gender and diversity competence
- Experience in designing and managing large research projects
- Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level
- Willingness to take on organisational and administrative responsibilities within the Faculty and/or the University
We Offer
- 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 (
- 98 UG, level A1, to be negotiated individually) and an organisational retirement plan
- a “start-up package”, in particular for the initiation of research projects
- comprehensive relocation support
Please submit a single PDF file (LastName_FirstName.pdf) containing the following information in English via email to the Dean of the Faculty, Univ.-Prof. Mag. Dr. Karl Franz Dörner ([email protected]):
- 1. Letter of motivation
- 2. Academic curriculum vitae
- education and training
- positions held to date
- relevant parental, family or other care times
- awards and honors
- commissions of trust
- previous and current cooperation partners
- list of most important acquired third-party funding as principal investigator, and, if applicable, of inventions/patents
- list of most important scientific talks (max. 10)
- teaching and mentoring
- supervision experience (Master and PhD)
- 3. List of publications and a link to your ORCID record
- 4. Research statement
- most important research achievements (max. 2 pages) and planned future research activities (max. 4 pages)
- synopsis of five key publications with relevance to the position advertised
- 5. Teaching and supervision statement
- eaching and supervision concept, including a description of the previous and planned priorities in academic teaching and supervision (max. 2 pages)
- a. Five key publications as electronic full text version
- b. Teaching evaluations (if available, compiled into a single PDF file)
- c. Copies of certificates of academic degrees (mandatory, compiled into a single PDF file)
Reference no.: 01/2025
Application deadline: 17 September 2025
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- Posted
- Aug 06, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Innere Stadt
- Company
- University of Vienna
Industries
Higher Education
Categories
Education
Training
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