Vienna University of Economics and Business

Commercial professions (other)

Research, development, teaching

Fulltime

published till: 2025-11-19

You want to understand how things are connected and make a fundamental impact? 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

Department of Business Analytics and Decision Sciences
Fulltime, 40 hours/week
Starting as early as possible and limited for 6 years

A qualification agreement will be concluded at the start of the employment (§ 27 of the Collective Bargaining Agreement). Pursuant to WU’s Personnel Development Plan, this position can only be fixed-term for up to six 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 § 43a.

The newly established Department of Business Analytics and Decision Sciences is currently inviting applications for up to six Assistant Professor positions, tenure track (qualification agreement), full-time, 40 hours/week.

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.

The successful candidates will help build up the department’s research and teaching profile and shape its academic culture.

What to expect

Conduct independent, high-quality research in Business Analytics and Decision Sciences
Teaching at all program levels incl. independent supervision of bachelor and master theses
Highly motivated students
Actively contribute to the development of the new department (research, teaching, third mission)
Participate in academic self-governance
Collaborate with the international academic community and with other departments at WU
Competitive salary, research funds

What you have to offer

We seek candidates with strong research potential in one or more methodological areas of Business Analytics and Decision Sciences, such as:
- Machine learning (symbolic and sub-symbolic AI, including deep learning, reinforcement learning, generative AI, or automated decision-making),
- Simulation, optimization, and experimentation,
- Algorithmic game theory and market design,
- Modern statistics or econometrics
Candidates should have a PhD degree or anticipate receiving a PhD in the current academic year in Business Analytics, Decision Sciences, Operations Research, Management Science, Information Systems, Statistics, Data Science, Applied Mathematics, Computer Science, or a related field
Candidates who completed their PhD/doctoral degree at WU Vienna must present proof that they have completed an uninterrupted employment period at a postdoc/Assistant Professor level of at least two years (with a minimum of 20h/week employment) at another university or non-academic research institution, without simultaneous employment at WU
Academic research paper (“job market paper”), preferably single-authored, which has been published or is publishable in a leading academic journal
Active involvement in the international academic community
Proven international academic experience is preferred (i.e. a PhD from a non-Austrian university or at least one year of working experience at the postdoc level at a non-Austrian academic institution abroad)
A demonstrated commitment to excellence in teaching
High ambition and motivation for an academic career
Ability to work independently
A demonstrated ability to be a good team player
Active involvement in setting up or managing academic initiatives or institutions

Required submission materials:

C.V.
Cover letter
Job market paper
Additional papers (optional)
Two confidential reference letters should be sent directly by the letter writers to the following email address: bads HYPHEN recruiting AT wu Dot ac Dot at
Research statement
Teaching statement

The selection process consists of two stages: an online interview in the first round, followed by an in-person job talk on campus.

Travel and lodging expenses:
ln case you are invited to a job talk at WU, the Department of Business Analytics and Decision Sciences will refund your travel costs on usual terms.

For details of the position, please contact Professor Verena Dorner, interim Head of the Department of Business Analytics and Decision Sciences, by phone: +43-1-31336-5046, or by email: verena.dorner@wu.ac.at

What we offer you

Six weeks of vacation/Extra vacation time
Flexible working hours
Training opportunities
A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
Meaningful work in an open-minded, inclusive, and family-friendly environment
A modern campus with spectacular architecture in the heart of Vienna
Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
Excellent accessibility by public transportation

The minimum monthly gross salary amounts to €5,808.20 (14 times per year). In addition, we offer a wide range of attractive social benefits.

Do you want to join the WU team?
Then please submit your application by November 19, 2025 (ID 2602).
We are looking forward to hearing from you!

6 Assistant Professors, tenure track, qualification agreement