Allgemeine Informationen:

Frauenförderung:
Da sich die Wirtschaftsuniversität Wien die Erhöhung des Frauenanteils beim wissenschaftlichen Personal zum Ziel gesetzt hat, werden qualifizierte Frauen ausdrücklich aufgefordert, sich zu bewerben. Bei gleicher Qualifikation werden Frauen vorrangig aufgenommen. Alle Bewerberinnen, die die gesetzlichen Aufnahmeerfordernisse erfüllen und den Anforderungen des Ausschreibungstextes entsprechen, sind zu Bewerbungsgesprächen einzuladen.
An der WU ist ein Arbeitskreis für Gleichbehandlungsfragen eingerichtet. Nähere Informationen finden Sie unter http://www.wu.ac.at/structure/lobby/equaltreatment.

Reise- und Aufenthaltskosten:
Wir bitten Bewerberinnen und Bewerber um Verständnis dafür, dass Reise- und Aufenthaltskosten, die aus Anlass von Auswahl- und Aufnahmeverfahren entstehen, nicht von der Wirtschaftsuniversität Wien abgegolten werden können.

AUSGESCHRIEBENE STELLEN:
1) The Institute for Statistics and Mathematics is currently inviting applications for a fulltime Assistant Professor, non-tenure track position (post-doc, employee subject to the terms of the Collective Bargaining Agreement for University Staff - Angestellte/r gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; gross monthly salary, paid 14 times per year: Euro 3,590.70). This employee position will be limited to a period of 6 years, starting on

October 1^st, 2016

(commencement date subject to change).

Please note that under the terms of the WU personnel development plan, the position of Assistant Professor, non-tenure track, is limited to an employment period of not more than six years. Applicants who are already employed at WU as substitute employees can therefore only be employed for the time remaining to complete the six-year period. Persons who have already been employed at WU in an Assistant Professor, non-tenure track position cannot be re-employed in this position at WU (except as a substitute employee) due to legal restrictions.

Responsibilities:
- Independent as well as collaborative research within the Bayesians@WU Group, chaired by Sylvia Frühwirth-Schnatter, focusing on methodological and computational aspects within new research topics in Bayesian Statistics and Econometrics
- Providing teaching assistance, and holding courses and examinations (Teaching load of four hours/week each semester)
- Contributing to organisational and administrative tasks

Your Profile:
- PhD in applied mathematics or in statistics with a strong mathematical background
- Enthusiastic interest in research in Bayesian statistics, exemplified through publications in international journals in topics including, but not limited to, Bayesian non-parametric methods, Bayesian inference for high-dimensional and complex data, Bayesian time series analysis and state space modelling, efficient Markov chain Monte Carlo methods
- Interest in applications in economics, finance, and business
- Excellent programming skills (e.g. in R or Matlab)
- German language skills are not a prerequisite
We offer a stimulating interdisciplinary research environment in an attractive city. For further information contact Prof. Sylvia Frühwirth-Schnatter (sylvia.fruehwirth-schnatter@wu.ac.at) or visit www.wu.ac.at.

Reference Number: 3153

Application materials can be submitted online until September 7^th, 2016.

Apply here

Travel and lodging expenses:
We regret that WU cannot reimburse applicants for travel and lodging expenses incurred as part of the selection and/or hiring process.

Equal opportunities:
WU is an Equal Opportunity Employer and seeks to increase the number of its female faculty and staff members, especially in management positions. Therefore qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference. WU has established a Committee for Equal Treatment, which is involved in all selection proceedings pursuant to § 42 of the 2002 Universities Act.