At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. 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: 06/30/2030
Job ID: 5729
.
The research group Data Mining and Machine Learning at the Faculty of Computer Science is looking for highly motivated research assistant, PhD candidate. We are offering an excellent working environment in a young, creative and international team. As a member of the Data Mining team, under the supervision of Assoz. Prof. Christian Böhm, 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.
You actively participate in research, teaching & administration, which means:
Participation in research projects / research studie
- s
Participation in publications / academic articles / presentation- s
We expect you to finalize your dissertation agreement within 12 months- .
You work on your dissertation and its completion- .
Participation in teaching and independent teaching of courses as defined by the collective agreemen- t
Supervision of student´s project´s and these- s
Involvement in the organization of meetings, conferences, symposium- s
Involvement in the department administration as well as in teaching and research administratio- n
The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data- .
Bachelor's and master's degree, both in Computer Science with excellent marks
- .
Excellent command of English
Very good mathematical understandin- g
Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Pytho- n
Strong ability to work in team- s
Perseverance and ability to make things don- e
High motivation to publish at the top-level conference- s
Willingness to travel, including participation in national and international conference- s
Basic experience in academic writing and with research methods
Didactic competences / experience with e-learnin- g
Desireable knowledge:
You should be a team player with high social skill
- s
Experience in eye-tracking applications for the analysis of dyslexia- .
Experience with clustering, representation learning, deep learning.
Experience with applications of data mining methods to real data from various domains.
Experience in university teachin- g
Experience in scientific writin- g
International experienc- e
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 3.776,10 (on a full-time basis) increases if we can credit professional experience.
Tenure: 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.
Equal opportunities for all: We welcome every additional/new personality to the team!
Scientific curriculum vitae
Letter of motivation including project idea- s
Abstract of Master's Thesi- s
Master´s Degree / Diploma, Degree Certificate- s
Transcript of records of BSc- and MSc studie- s
List of publications, evidence of teaching experience (if available- )
Christian Böhm
[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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.
Data protection
Application deadline: 06/16/2026
