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

Predoctoral assistant Computer Science 

39 Faculty of Computer Science  

Job vacancy starting: 07/01/2025 (MM-DD-YYYY) | Working hours:  30.00  | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) 

Limited contract until: 02/28/2026

Job ID: 4178

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!

Your personal sphere of influence:

As a university assistant prae doc, 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, prae docs 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 limited to eight months and will end on 28 February 2026, corresponding to the abscense of our employee on leave.

Your future tasks:

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

• You are involved in research projects and scientific studies.
• You work on your dissertation and its completion.
• You take on administrative tasks in research, teaching and administration.
• Participation in teaching and independent teaching of courses as defined by the collective agreement.
• The research should focus on Human-Computer-Interaction, Visualization, Usability Research and Data Science.

This is part of your personality:

• 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: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field
• Methodological competence: First experience with qualitative research methods
• Didactic competence desired
• High ability to express yourself both orally and in writing
• Excellent command of written and spoken English
• IT user skills
• Ability to work in a team

Desirable qualifications are

•     Teaching experience/experience of working with e-learning
•     Knowledge of university processes and structures
•     Experience abroad
•     Basic experience in research methods and academic writing
•     Experience with data
•     Good programming skills (Python / javascript / D3 / C++)
•     Tableau
•     Background in or experience creating data visualizations
•     Experience with quantitative research methods (e.g. in data science or statistical knowledge)
•     First experiences of interdisciplinary collaborations
•     Teaching or tutoring experience or workshop facilitation

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 everyone: We look forward to diverse personalities in the team!

It is that easy to apply:

• With your scientific curriculum vitae
• Letter of Motivation, including ideas for a prospective doctoral project proposal
• Abstract of master thesis
• Master Degree  /  Diploma
• List of publications, evidence of teaching experience (if available)

If you have any questions, please contact:

Torsten Möller  

torsten.moeller@univie.ac.at

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: 06/20/2025