At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an
39 Faculty of Computer Science
Job vacancy starting: 07/01/2026 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until:
Job ID: 5719
Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team!
As a university assistant , you will complement the research team around Prof. Torsten Möller and take over tasks like researching, teaching, collaborating with your fellows. The focus of our research is Visualization and Data Analysis. Our Team VDA currently consists of 10 members: a post doc, s and administrative colleagues. What makes us special as a team is a close collaborative working and researching situation; what is particularly important to us is a healthy feedback loop within our group. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.
You actively participate in research, teaching & administration, which means:
You are involved in research projects and scientific studies
- .
We expect you to finalize your dissertation agreement within 12-18 months- .
You work on your dissertation and its completion- .
You hold courses independently within the scope of the provisions of the collective bargaining agreement- .
You take on administrative tasks in research, teaching and administration- .
The research should focus on Human-Computer-Interaction, Visualization, Usability Research and Data Science- .
Professional competence: Background in Computer Science; specifically Human-Computer Interaction, Data Visualisation, Data Science (Master’s level or equivalent professional experience
- )
Masters degree in one of the following areas: Computational Science or a related fiel- d
Methodological competence: First experience with qualitative research method- s
Didactic competence desire- d
High ability to express yourself both orally and in writin- g
Excellent command of written and spoken Englis- h
IT user skill- s
Ability to work in a tea- m
Desirable qualifications are
Experience abroa
- d
Basic experience in research methods and academic writin- g
Experience with data analysi- s
Experience with scale development, item response theory or similar-
Good programming skills (Python / javascript / D3 / C++- )
Tablea- u
Background in or experience creating data visualization- s
Experience with quantitative research methods (e.g. in data science or statistical knowledge- )
First experiences of interdisciplinary collaboration- s
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 3776,10 (on a full-time basis, 14 times a year) increases if we can credit professional experience.
Equal opportunities for everyone: We look forward to diverse personalities in the team!
With your scientific curriculum vita
- e
Letter of Motivation, including ideas for a prospective doctoral project proposa- l
Abstract of master thesi- s
Master Degree / Diplom- a
List of publications, evidence of teaching experience (if available- )
Torsten Möller
[email protected]
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.
Data protection
Application deadline: 06/11/2026
