Stellenangebot
Tenure track Assistant Professor in the field of Statistics and Machine Learning at the Institute for Statistics and Mathematics, Vienna University of Economics and Business
Tenure track Assistant Professor in the field of Statistics and Machine Learning at the
Institute for Statistics and Mathematics, Vienna University of Economics and Business (WU)
You want to understand how things are connected and make a fundamental impact in academic
research and teaching. Then this position is the perfect next step in your academic career. We offer
an environment where you can realize your full potential. At one of Europe’s largest and most
modern business and economics universities. On a campus where quality of work is also quality of life.
We are looking for support at the Institute for Statistics and Mathematics
Fulltime, 40 hours/week
Starting October 01, 2023, and ending after 6 years (but there is a tenure track)
Application deadline: March 15, 2023; apply at www.wu.ac.at/jobs (ID 1653).
A qualification agreement can be concluded after a contract duration of two years. Once all objectives agreed upon in the qualification
agreement have been fulfilled, the employment relationship can be made permanent. Employees
who have successfully completed a qualification agreement are classified as associate professors.
From an organizational regulation perspective they belong to the group of professors. Three years
after successful completion of the qualification agreement, they are entitled to apply for promotion
to full professor according to the By-Laws of WU.
What to expect:
The successful applicant will carry out independent research and supervision activities in the field
of Statistics and Machine Learning.
We are particularly interested in researchers whose scientific work focuses on the methodological
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.
Teaching duties associated with the position initially comprise 4 hours per week
What you have to offer:
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 Professor Kurt Hornik (kurt.hornik@wu.ac.at,
+43-1-31336 4756) or Professor Sylvia Frühwirth-Schnatter (sylvia.fruehwirth-schnatter@wu.ac.at,
+43-1-31336 5581).
Do you want to join the WU team? Then please submit your application by March 15, 2023 under www.wu.ac.at/jobs (ID 1653).
Institute for Statistics and Mathematics, Vienna University of Economics and Business (WU)
You want to understand how things are connected and make a fundamental impact in academic
research and teaching. Then this position is the perfect next step in your academic career. We offer
an environment where you can realize your full potential. At one of Europe’s largest and most
modern business and economics universities. On a campus where quality of work is also quality of life.
We are looking for support at the Institute for Statistics and Mathematics
Fulltime, 40 hours/week
Starting October 01, 2023, and ending after 6 years (but there is a tenure track)
Application deadline: March 15, 2023; apply at www.wu.ac.at/jobs (ID 1653).
A qualification agreement can be concluded after a contract duration of two years. Once all objectives agreed upon in the qualification
agreement have been fulfilled, the employment relationship can be made permanent. Employees
who have successfully completed a qualification agreement are classified as associate professors.
From an organizational regulation perspective they belong to the group of professors. Three years
after successful completion of the qualification agreement, they are entitled to apply for promotion
to full professor according to the By-Laws of WU.
What to expect:
The successful applicant will carry out independent research and supervision activities in the field
of Statistics and Machine Learning.
We are particularly interested in researchers whose scientific work focuses on the methodological
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.
Teaching duties associated with the position initially comprise 4 hours per week
What you have to offer:
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 Professor Kurt Hornik (kurt.hornik@wu.ac.at,
+43-1-31336 4756) or Professor Sylvia Frühwirth-Schnatter (sylvia.fruehwirth-schnatter@wu.ac.at,
+43-1-31336 5581).
Do you want to join the WU team? Then please submit your application by March 15, 2023 under www.wu.ac.at/jobs (ID 1653).