University assistant predoctoral

Vor 3 Tagen


Wien W, Österreich Universität Wien Vollzeit € 37.418 pro Jahr

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

University assistant predoctoral

37 Faculty of Business, Economics and Statistics

Job vacancy starting: 02/01/2026 | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 01/31/2029

Job ID: 4905

Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team

Your personal sphere of influence:

A doctoral university assistant position ("Praedoc") is to be filled at the Department of Business Analytics and Decisions starting from February 1st, 2026. The contract duration upon appointment is 3 years, with the employment initially being limited to 1,5 years and can automatically be extended to a total of 3 years, provided that the employer does not issue a non-extension notice within a maximum of 12 months.

Your future tasks:

You actively participate in research, teaching & administration, which means:

You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning

  • .
    We expect you to complete your dissertation agreement within 12-18 months- .
    You will work on your dissertation and its completion- .
    You will independently conduct teaching activities within the scope of collective bargaining agreements, in the field of Production and Logistics- .
    You will undertake administrative tasks in research & teaching- .
    You will supervise students- .
    You will participate in publications/scientific presentations- .
This is part of your personality:

You have experience with exact and (meta-)heuristic solution methods in the field of Operations Research

  • .
    Your master thesis is written in Operations Research, Machine Learning, or in a closely related field- .
    You have experience in development and implementation of decision support tools, in particular the implementation of Operations Research methods (e.g., in C, C++ or Jav- a
    You have the ability to explain complex facts in an understandable way and to work independently as well as in a team.
    Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus- .
    You are an experienced programmer, preferably using the Python programming language- .
    You are a team player with excellent social/communication skills- .
    You have experience using deep reinforcement learning methods.
What we offer:

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 3,714,80 (on a full-time basis) increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team

It is that easy to apply:

Letter of motivatio

  • n
    Academic C- V
    Notification of completed diploma studie- s
    Degree certificate- s
    Via our job portal / Apply now butto- n

We look forward to new personalities in our team

The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

Application deadline: 11/23/2025



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