University Assistant (Praedoc), DM and ML

39 Faculty of Computer Science

Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement:

• 48 VwGr. B1 Grundstufe (praedoc) Limited until: 05.07.2025 Reference no.: 4249
  
  

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 Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups.

The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 6 months) to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science.

Your Future Tasks

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

• Your main task is to complete and to submit your dissertation.
• Participation in teaching and independent teaching of courses as defined by the collective agreement.
• You participate in your department's and the Doctoral School activities and workshops.
• You participate in conferences and publish research results in peer-reviewed journals.
• You actively seek support (workshops, training, coaching etc.) if necessary.
  
  

This Is Part Of Your Personality

• Above-average MA or equivalent in a field of study relevant for the respective position.
• Excellent academic and study record (e.g. outstanding publication record etc.).
• Excellent and up-to-date knowledge of robust machine learning (especially bit-flip attacks) in combination with graph learning, in particular using graph neural networks (evidenced by publications in top-tier journals or conference proceedings).
• Excellent and up-to-date knowledge of typical machine learning and graph learning frameworks such as PyTorch, PyTorch Geometric.
• Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods) advantageous.
• First experience in university teaching advantageous.
• High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame.
• Excellent command of written and spoken English (C1 Level), futhermore good command of XY, if necessary
• Collaborative, team-minded and pro-active attitude.
• High level of written and oral communication skills.
• Excellent command of English (C1) / knowledge of another foreign language (level) where appropriate.
• Experience with the structures of the University of Vienna.
  
  

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 intent
• With a plan for the completion of the doctorate
• Via our job portal / Apply now - button
  
  

If You Have Any Questions, Please Contact

Nils Morten Kriege

[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 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: 07/05/2025

Prae Doc