Assistant Professor, tenure track (qualification agreement) in the field of Computational Statistics

Full-time, 40 hours/week

Please note that under the terms of the WU personnel development plan, the position of Assistant Professor, tenure track, is limited to an employment period of not more than six years. For this position, a qualification agreement can be considered after a period of two years, pursuant to § 27 of the Collective Bargaining Agreement (Kollektivvertrag für die ArbeitnehmerInnen der Universitäten). After successful fulfillment of any qualification agreement made, employment can be made permanent. From the perspective of organizational regulations, employees who have successfully completed a qualification agreement are to be classified as full professors.

Your responsibilities

The successful applicant will carry out independent research and supervision activities in the field of Computational Statistics. We are particularly interested in researchers whose scientific work focuses on the computational aspects of modern statistical techniques and machine learning algorithms and their application to the analysis of large data sets. A proven interest in applications from the fields of economics, finance or business is an advantage, but candidates working in other application areas in the fields of social or environmental science are also encouraged to apply. In line with the Collective Bargaining Agreement, teaching duties associated with the position initially comprise 4 hours per week; they can be in quantitative education programs at WU at all Levels (bachelor, master and PhD).

Your profile

You hold a diploma or an MSc as well as a PhD in mathematics, statistics or equivalent. We expect scientific excellence, documented by publications in internationally recognized journals and international experience (a PhD from a non-Austrian university or at least one year of working experience on the postdoc level at a non-Austrian university and a good international network). First managerial experience (e.g. acquisition and/or management of third-party projects) is an advantage. German language skills are not a prerequisite, but we expect the willingness to acquire proficiency in German over time.

For details of the position, please contact the institute head, Professor Kurt Hornik, Institute for Statistics and Mathematics, by phone: ++43-1-31336-4756, or email: This email address is being protected from spambots. You need JavaScript enabled to view it.

 (ID 427)



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