The University of Vienna is a cosmopolitan hub for  more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an

​Postdoctoral 

[[postdoctoral]] 

Job vacancy starting: 01.10.2025  | Working hours: 20 | Classification CBA: [[§48 VwGr. B1 lit. b]] 

Limited contract until: 30.09.2031

Job ID: 3905

Among the many reasons 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 continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Does that sound like something for you? Welcome to our team!

Your personal sphere of play:

The University of Vienna (20 faculties and centres, 179 fields of study, approx. 10.000 members of staff, about 90.000 students) seeks to fill the position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant.

The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research.

The research group Data Mining and Machine Learning at the Faculty of Computer Science is looking for a highly motivated postdoc. We are offering an excellent working environment in a young, creative and international team. As a member of the Data Mining team, you will contribute to fascinating data mining projects offering the possibility to take over responsibility at an early stage, to publish the results at leading international conferences and to exchange ideas with international and interdisciplinary cooperation partners. We provide intensive support during course of your dissertation.

Your future tasks:

Participation in research, teaching and administration:

• Participation in research projects
• Participation in publications and their presentation at conferences
• Participation in teaching and independent teaching of courses as defined by the collective agreement
• Supervision of students and PhD students
• Participation in external fundraising activities
• 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 data mining, e.g., clustering, representation learning, causality detection and graph mining.

This is part of your personality: 

• Master in Computer Science, Applied Mathematics or equivalent qualification with a strong focus on Computer Science with excellent marks.
• PhD with focus on data mining
• Strong publication record
• Leadership abilities to supervise students and PhD students
• Teaching experience
• Very good German and English language skills.
• Very good mathematical understanding
• Very good programming skills
• Strong ability to work in teams
• Perseverance and ability to make things done
   

What we offer:

Duration of employment: 6 years

Extent of employment: 20.0 hours/week

Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 € 4.932,90 (on a full-time basis) with relevant work experience determining the assignment to a particular salary grade.

It is that easy to apply:

Application documents

• Curriculum vitae
• Degree certificates and credentials including grades of Bachelor and Master studies
• List of publications, evidence of teaching experience

If you have any content questions, please contact:

[[Univ.-Prof. Dipl.-Inform.Univ. Dr. 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: 05/30/2025