WU is currently inviting applications for a part-time (20%) full professorship1 (duration of employment is 2 years) in Business Analytics and Decision Sciences at its newly established Department. The successful candidate is expected to have an excellent international research reputation and to contribute, within the scope of the position, to the development of this new academic unit.
We are seeking candidates with a methodological focus on machine learning, symbolic or sub-symbolic AI (including deep learning, reinforcement learning, generative AI, and automated decision-making), modern statistics or econometrics, optimization, simulation, and experimentation, algorithmic game theory and/or market design. The application scope of the candidates’ research should complement WU’s existing research.
WU (Vienna University of Economics and Business) combines excellence with responsibility.
Its rare triple accreditation by EQUIS, AACSB, and AMBA is a guarantee for the highest quality research and teaching in the fields of business, economics, and business law. WU’s research is characterized by a wide diversity of disciplines practiced at WU, allowing researchers to deal with even the most complex of research questions.
International cooperation is very important to WU, and we encourage and support both faculty and student mobility. WU is also very aware of its responsibility to its students, faculty, and staff and is committed to gender equality, equal opportunities, accessibility, family-friendly working conditions, and sustainability.
WU's new department of Business Analytics and Decision Sciences focus is on predictive and prescriptive analytics to support informed, data-driven strategic business decisions. Researchers at the department develop and apply methods that derive optimal business decisions from data in a business context and empirically validate their effectiveness. A key priority of the department is applying these methods across fields that are complementary to WU’s existing research, fostering collaboration with other departments at WU.
This 20% professorship is intended to further sharpen the department’s research and teaching profile and shape its academic culture.
Qualifications
The successful candidate is expected to have established an international reputation as a researcher in the relevant field and to have outstanding qualifications. Candidates’ qualifications will be assessed in the context of their academic age on the basis of the following criteria:
a) A solid academic qualification (e.g. PhD, habilitation or equivalent) in business analytics and decision sciences, including operations research, management science, information systems, statistics, artificial intelligence, data science, applied mathematics, applied computer science, or a related area
b) An outstanding international reputation for high-quality scholarship in Business Analytics and Decision Sciences, especially by having demonstrated the ability to apply advanced methodologies from machine learning, symbolic or sub-symbolic AI (including deep learning, reinforcement learning, generative AI, and automated decision-making), modern statistics or econometrics, simulation, optimization, and experimentation, algorithmic game theory and/or market design. This expertise should be evidenced by publications in top-tier journals in a field that complements WU’s existing research. Examples of such fields include, but are not limited to:
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Climate, Energy, Mobility
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Crisis Management and Security
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Culture, Creativity, Tourism, Sports
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Health, Livable Society-
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Social Network and Market Platforms;
c) Excellent teaching qualifications at undergraduate and graduate levels
d) Proven international experience
e) Experience in attracting research funding
f) Leadership qualities
g) Gender and diversity management skills.
Expectations
The successful candidate is expected to
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perform teaching activities at all levels (bachelor’s, master’s, PhD/doctorate, and executive education),
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Teach 2 weekly credit hours (delivered largely in person)
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Actively contribute to the department’s research profile and publication output, both independently and in collaboration with department faculty.
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Contribute to funding applications submitted by the Department’s faculty.
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Join in the Department’s third-mission activities.
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Be physically present at the department for a total of at least 3 weeks per semester in order to facilitate teaching, supervision, and face-to-face scholarly exchange with the faculty.
Applications
WU is committed to diversity and inclusion, and qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference. People with disabilities are encouraged to apply and will be supported during each stage of the recruitment process. Candidates’ qualifications will be assessed in the context of their academic age.
WU assesses performance in the context of each applicant’s biography and relative to the opportunities available to them. This approach recognizes that academic achievements cannot be assessed separately from each individual researchers’ biographical factors. To ensure equitable opportunities, qualifications are evaluated relative to the applicant’s academic age. This means that WU takes biographical factors such as part-time employment or career interruptions due to caregiving or childcare obligations or other functions performed at or outside of a university into account. In your application, you can include personal data related to biographical factors. WU will keep all data that you send us as part of your application confidential. All persons involved in the selection procedure are bound by obligations of secrecy.
Applicants should address their applications and all relevant documents (including in any case a letter of motivation, academic CV, reference to the criteria specified in the call for applications) to the Rector of WU Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna, and upload these documents using the button below.
Please submit your application via WU’s online recruiting tool by **July 15, 2026. **
For details about the position, please contact Professor Verena Dorner, interim Chair of the Department of Business Analytics and Decision Sciences: verena.dorner@wu.ac.at.
For details about the application process, please contact the Senior Faculty Recruitment team by email at prof.application@wu.ac.at.
Please note: Only applications uploaded via our online recruiting tool will be considered. In their application documents, applicants must respond to all criteria specified in the call for applications, especially to items A) “Qualifications” and B) “What we expect.” A reference to these two items is considered a mandatory element of any application to WU Vienna, and any applications that lack this mandatory element cannot be considered.
[1] Employed under salary group A 1 pursuant to the Collective Bargaining Agreement for University Staff [Kollektivvertrag für die Arbeitnehmer/innen der Universitäten], minimum gross yearly salary: €93,986.20; the actual annual gross salary is subject to negotiation
[2] The duration of fixed-term contracts is subject to negotiation.
The successful candidate is expected to have established an international reputation as a researcher in the relevant field and to have outstanding qualifications. Candidates’ qualifications will be assessed in the context of their academic age on the basis of the following criteria:
a) A solid academic qualification (e.g. PhD, habilitation or equivalent) in business analytics and decision sciences, including operations research, management science, information systems, statistics, artificial intelligence, data science, applied mathematics, applied computer science, or a related area
b) An outstanding international reputation for high-quality scholarship in Business Analytics and Decision Sciences, especially by having demonstrated the ability to apply advanced methodologies from machine learning, symbolic or sub-symbolic AI (including deep learning, reinforcement learning, generative AI, and automated decision-making), modern statistics or econometrics, simulation, optimization, and experimentation, algorithmic game theory and/or market design. This expertise should be evidenced by publications in top-tier journals in a field that complements WU’s existing research. Examples of such fields include, but are not limited to:
-
Climate, Energy, Mobility
-
Crisis Management and Security
-
Culture, Creativity, Tourism, Sports
-
Health, Livable Society-
-
Social Network and Market Platforms;
c) Excellent teaching qualifications at undergraduate and graduate levels
d) Proven international experience
e) Experience in attracting research funding
f) Leadership qualities
g) Gender and diversity management skills.
The successful candidate is expected to
-
perform teaching activities at all levels (bachelor’s, master’s, PhD/doctorate, and executive education),
-
Teach 2 weekly credit hours (delivered largely in person)
-
Actively contribute to the department’s research profile and publication output, both independently and in collaboration with department faculty.
-
Contribute to funding applications submitted by the Department’s faculty.
-
Join in the Department’s third-mission activities.
-
Be physically present at the department for a total of at least 3 weeks per semester in order to facilitate teaching, supervision, and face-to-face scholarly exchange with the faculty.