Description
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! ###
Your responsibilities
- Adapt and extend computational models of self-belief updating and instrumental action across laboratory and real-world settings
- Process, analyse, and integrate behavioural, psychophysiological (pupillometry), ecological momentary assessment, and longitudinal data to characterise individual differences in agency and resilience
- Develop reproducible analysis pipelines and open-science workflows
- Contribute to study design, implementation, and data collection
- Lead the preparation of scientific manuscripts for peer-reviewed journals and present findings at national and international conferences
- Supervise Master's theses and mentor a PhD student alongside the principal investigator
- Contribute to future grant applications and collaborative research initiativess
Your profile
- PhD in Psychology, Cognitive Science, Neuroscience, Computational Psychiatry, Computational Cognitive Science, Behavioural Economics, Statistics, or a related discipline
- Strong interest in computational approaches to mental health, resilience, learning, decision-making, or related topics
- Advanced analytical and programming skills (e.g., R, Python), including experience with computational modelling of behavioural data
- Track-record of scientific publications in peer-reviewed journals
- Experience with pupillometry, ecological momentary assessment, reinforcement-learning models, or related methods is an advantage
- Excellent written and spoken English; German language skills are useful but not required
- Ability and motivation to work both independently and collaboratively as part of a research team, with strong written and verbal communication skills
- Experience in supervising students is a plus