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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
47 Faculty of Psychology
Job vacancy starting: 07/12/2026 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until:
Job ID: 5480
Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!
The Faculty of Psychology consists of the Dean's office and the studies service center, as well as the Department of Cognition, Emotion, and Methods in Psychology, the Department of Occupational, Economic and Social Psychology, the Department of Applied Psychology: Work, Education and Economy, the Department of Development and Educational Psychology, the Outpatient Unit for Research, Teaching and Practice. Currently, nearly 3500 students of Psychology are enrolled in Bachelor's, Master's and PhD programs, attending nearly 200 courses per semester, which are taught and supervised by 220 teachers.
Your personal sphere of influence:
As a university assistant , you will join the Department of Cognition, Emotion, and Methods in Psychology at the Faculty of Psychology. The Department consists of approximately 100 staff members organized in eight research units with fMRI, EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation facilities. The interdisciplinary Methods of Psychology team currently consists of several post-doctoral and PhD students with backgrounds in psychology, life science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new neurotechnologies and AI tools to better understand psychological phenomena and to advance experimental therapies for debilitating psychiatric and neurological disorders.
Your future tasks:
As a new member of our team, you will actively contribute to research, teaching, and administrative activities. This includes:
Participation in research projects and scientific studies focused on the application of computational methods such as machine learning and large language models to psychological domains, with a particular emphasis on anxiety disorders.
Finalizing your dissertation agreement within 12–18 months.
Working on and completing your doctoral dissertation.
Attending the Vienna Doctoral School in Cognition, Behaviour and Neuroscience (VDS CoBeNe).
Independently teaching courses in accordance with the provisions of the collective bargaining agreement.
Contributing to administrative tasks related to research, teaching, and departmental activities.
This is part of your personality:
Candidates should hold an excellent university degree in psychology. Strong computational skills are required, particularly in Python (numpy, pandas, scikit-learn), R (Tidyverse, data.table, caret), JASP, jamovi, and SQL. Additional experience with Bash, and Git is advantageous. Fluency in both English and German is required.
For this position, we are seeking applicants with a strong interest in applying computational methods - such as machine learning (specifically LightGBM and XGBoost), language processing (LLM and NLP), and statistics - to research on anxiety disorders. The ideal candidate will have experience conducting and analyzing behavioral experiments, setting up online experiments, performing statistical analyses - including data processing and validation - and running computational simulations. Prior teaching experience in statistics, probability, research methodology, and machine learning (in Python and R) is an advantage. Experience in developing and writing grant applications is also desirable.
Completed Master's degree in the field psychology
Experience of academic writing and with research methods
Excellent communication skills
You have very strong IT skills
Have an interest in emerging technologies
You should be a team player
What we offer:
Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement).
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 in the center of beautiful Vienna 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 gross monthly basic salary is EUR 3.776,10 (on a full-time basis) according to the Collective Bargaining Agreement of the University of Vienna and increases if we can credit professional experience.
Model 1: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. With appropriate work progress, an extension to a total maximum of 4 years is possible.
Equal opportunities for all: We look forward to diverse personalities in the team!
It is that easy to apply:
With your scientific CV
A brief statement of your research interests
With the names and contact details of 2 referees
Via our job portal / apply now - button
If you have any content questions, please contact:
Frank Scharnowski
[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.
University of Vienna. Space for personalities. Since 1365.
Data protection
Application deadline: 05/14/2026
