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 

University assistant predoctoral 

39 Faculty of Computer Science  

Job vacancy starting: 03/16/2026  | Working hours:  30,00  | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) 

Limited contract until: 06/03/2026

Job ID: 5390

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:

The University of Vienna seeks to fill the position of a University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant & Ass.Prof Yllka Velaj

The position is to be filled for the duration of an employee's absence until June 3, 2026, for the time being, and may be extended thereafter.  

The Faculty of Computer Science at the University of Vienna has world-leading researchers in computer science who conduct both basic and applied research. We offer an excellent working environment in a young, creative and international team. As a member of the Data Mining team, you will work on exciting data mining projects and have the opportunity to take on responsibility at an early stage, publish the results at leading international conferences and exchange ideas with international and interdisciplinary cooperation partners.

Your future tasks:

Participation in research, teaching and administration:

• Participation in research projects / research studies
• Participation in publications / academic articles / presentations
• Participation in teaching and independent teaching of courses as defined by the collective agreement
• Supervision of students
• Involvement in the organisation of meetings, conferences, symposiums
• Involvement in the department administration as well as in teaching and research administration

The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data.

This is part of your personality:

• Completed university degree (master's or equivalent) in computer science or a comparable degree program with a clear focus on computer science
• Very good English language skills.
• Very good programming skills, mastery of Python programming language
• Strong ability to work in teams
• High motivation to publish at the top-level conferences

Desirable qualifications are

• Experience with analysis of time series data
• Experience with clustering, representation learning, deep learning.
• Experience with applications of data mining methods to real data from different domains

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 3578,80 (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!

Duration of contract:

The position is to be filled for the duration of an employee's absence until June 3, 2026, for the time being, and may be extended thereafter.  

It is that easy to apply:

• Curriculum vitae
• Letter of Motivation including ideas for a prospective doctoral project proposal
• Abstract of master thesis
• Degree certificates
• List of publications, evidence of teaching experience (if available)

The University of Vienna pursues a non-discriminatory employment policy and attaches great importance to equal opportunities and diversity (http://diversity.univie.ac.at/). The University attaches particular importance to increasing the proportion of women in managerial and academic positions. Where qualifications are equal, preference is given to female applicants.

The candidate who is selected for this position joins the DoCS as a doctoral student member.

For further information please contact Claudia Plant, claudia.plant@univie.ac.at

If you have any questions, please contact:

Claudia Plant  

claudia.plant@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: 03/12/2026