About the opportunity
The University of Vienna is seeking a University Assistant (predoctoral) to join the Department of Cognition, Emotion, and Methods in Psychology within the Faculty of Psychology. The successful candidate will work within an interdisciplinary team focusing on developing neurotechnologies and AI tools to understand psychological phenomena and advance therapies for psychiatric and neurological disorders. The role involves a combination of research, teaching, and administrative duties, while the candidate pursues their doctoral dissertation.
Salary and benefits
- Basic salary of EUR 3,776.10 (on a full-time basis), which may increase based on professional experience.
- Flexible, family-friendly working hours.
- Remote/hybrid and/or part-time work options (upon agreement).
- Access to over 600 free internal further training and coaching courses.
- Workplace located in the center of Vienna with good public transport connections.
- International academic environment.
Who can apply?
- Completed Master's degree in psychology, computer science, data science, cognitive science, or a related discipline.
- Strong computational skills, particularly in Python.
- Fluency in English.
- Experience in academic writing and research methods.
- Very strong data analysis skills.
- Excellent communication skills.
- Knowledge of natural language processing (including large language models), machine learning, computational linguistics, and statistical analysis is ideal.
- Strong interest in applying computational methods (LLMs, NLP, machine learning, statistical modeling) to mental health research.
- Prior research experience, particularly in conducting empirical studies and performing advanced statistical analyses.
- German language skills or a willingness to improve them are desirable.
Required documents
- Scientific CV
- Brief statement of research interests
- Names and contact details of two referees
When to apply
- Application deadline: 2026-09-14
- Job vacancy starting: 2026-10-01
How to apply
- Apply via the university's job portal using the 'Apply now' button.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Master's degree in Psychology, Computer Science, or Data Science
- Strong computational skills, particularly in Python
- Interest in applying LLMs and machine learning to mental health research
What should you think carefully about?
- The role requires a mix of research, teaching, and administration, which may limit time for your dissertation
- While hybrid work is possible, you must be available for on-site collaboration in Vienna
- German language skills are desirable, though not strictly required if you are willing to learn
How could this fit your current goals and plans?
This position is perfect for a candidate looking to bridge the gap between computational methods and mental health research. It provides the resources and interdisciplinary environment necessary to develop innovative neurotechnologies and AI tools while completing a PhD.
Our take
Ideal for tech-savvy psychology or computer science graduates interested in mental health; less suitable for those who prefer to work in isolation or without teaching responsibilities.
Ready to apply?
Review the opportunity on the official website before applying.
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