University assistant predoctoral
Vor 6 Tagen
At the University of Vienna, a community of over 10,000 individuals, including approximately 7,500 academic staff members, passionately pursuing answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an
University assistant predoctoral39 Faculty of Computer Science
Job vacancy starting: 01/01/2026 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until: 03/31/2026
Job ID: 4319
The Doctoral School Computer Science DoCS (
The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 3 months) to doctoral students who previously had a position as university assistant () or as third-party funded researcher () 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 () and will be working in the research group "Data Mining and Machine Learning" at the Faculty of Computer Science. This job advertisement is a completion contract.
As a university assistant Praedoc, you will complement/complete the research team around Benjamin Roth and carry out tasks such as e.g. undertake research in the area of natural language processing using deep learning methods.
The focus of our research is in the area of natural language processing with deep learning methods, especially large language models.
This is a limited term position for 3 months.
You actively participate in research, teaching & administration, which means:
Completion of your doctoral studie
- s
Participation in teaching and independent teaching of courses as defined by the collective agreemen- t
You will participate in research projects and scientific studies in the area of natural language processing and calibration of large language model- s
You are working on your dissertation and its completio- n
You hold courses independently within the scope of the collective agreement provision- s
You will take on administrative tasks in research and teachin- g
Completed master's/diploma degree in computer science, computational linguistics or a related field of stud
- y
Publications in the area of Natural Language Processing (e.g. ACL, EMNLP- )
Didactic skills / experience in e-learnin- g
Knowledge of deep learning frameworks (e.g. PyTorch, Huggingface, Tensorflow- )
very good knowledge of Englis- h
You are a team player with high social/communicative skill- s
Knowledge in calibration of large language models is particularly desirabl- 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 3.714,80 (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:Apply with the following documents (via our job portal / Apply now button):
With your academic C
- V
With a letter of intent and a concept for the successful completion of a dissertation (max. 2 pages- )
Degree certificate of completed master's/diploma studie- s
Benjamin Roth
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.
Data protection
Application deadline: 10/23/2025
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