University assistant predoctoral Universität Wien

Job description:

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

University assistant predoctoral

Your personal sphere of influence:

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. 

Your future tasks:

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

• Participation in research projects / research studies
• Participation in publications / academic articles / presentations
• 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 agreement
• Supervision of student´s project´s and theses
• Involvement in the organization 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:

• Bachelor's and master's degree, both in Computer Science with excellent marks.
• Excellent command of English 
• Very good mathematical understanding
• Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python
• Strong ability to work in teams
• Perseverance and ability to make things done
• High motivation to publish at the top-level conferences
• Willingness to travel, including participation in national and international conferences
• Basic experience in academic writing and with research methods 
• Didactic competences / experience with e-learning

Desireable knowledge:

• You should be a team player with high social skills
• 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 teaching
• Experience in scientific writing
• International experience

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 3.776,10 (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!

It is that easy to apply:

• Scientific curriculum vitae 
• Letter of motivation including project ideas
• Abstract of Master's Thesis
• Master´s Degree  /  Diploma, Degree Certificates
• Transcript of records of BSc- and MSc studies
• List of publications, evidence of teaching experience (if available)

If you have any content questions, please contact:

Christian Böhm

christian.boehm@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 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.

University of Vienna. Space for personalities. Since 1365.

Data protection

Application deadline: 06/16/2026 

Apply now