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University of Zurich

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Postdoctoral Position in Computational Modelling of Agency and Resilience University of Zurich in Switzerland

Degree Level

Postdoc

Field of study

Psychology

Funding

Available

Deadline

Jan 5, 2027

Country flag

Country

Switzerland

University

University of Zurich

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Keywords

Psychology
Cognitive Science
Decision Making
Open Science
Neuropsychology
Reinforcement Learning
Resiliency
Mental Illness
Self-efficacy
Computational Modelling
Statistics

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About this position

The Department of Psychology at the University of Zurich invites applications for a two-year postdoctoral position in computational modelling of agency and resilience. The role is part of the SNSF-funded project “Building Resilience: A Lab-to-Life Investigation of How Control Beliefs and Active Coping Develop in Stressful Transitions”, led by Dr. Laura Meine.

The project investigates how psychological resilience is actively built and sustained during stressful life transitions. It focuses on how self-efficacy beliefs and coping strategies develop in response to unfamiliar stressors and how they contribute to resilience and mental health. The research connects controlled laboratory experiments with behaviour in everyday life.

The postdoctoral researcher will lead the computational modelling components of the project. They will adapt and extend models of self-belief updating and instrumental action across laboratory and real-world contexts, integrating behavioural, psychophysiological, ecological momentary assessment, and longitudinal data. Pupillometry will provide psychophysiological measures, while intensive longitudinal methods will help characterise individual differences in agency and resilience.

Additional work includes developing reproducible analysis pipelines, supporting open-science workflows, contributing to study design and data collection, and preparing research for peer-reviewed publication and international conference presentation. The researcher will also supervise Master's theses and mentor a PhD student alongside the principal investigator.

The successful candidate will join a supportive, multidisciplinary, and internationally connected research group within the Department of Psychology. The position offers opportunities for collaboration and scientific exchange, as well as professional development in computational psychology, resilience research, computational modelling, and intensive longitudinal methods. The researcher is expected to contribute to the scientific direction of the project, lead several publications, and develop an independent research profile.

Funding details

Available

What's required

Applicants must hold a PhD in Psychology, Cognitive Science, Neuroscience, Computational Psychiatry, Computational Cognitive Science, Behavioural Economics, Statistics, or a related discipline. They should have a strong interest in computational approaches to mental health, resilience, learning, decision-making, or related topics; advanced analytical and programming skills such as R or Python; experience with computational modelling of behavioural data; and a track record of peer-reviewed scientific publications. Experience with pupillometry, ecological momentary assessment, reinforcement-learning models, or related methods is advantageous. Excellent written and spoken English is required; German is useful but not required. Applicants should be able to work independently and collaboratively with strong communication skills. Experience supervising students is a plus.

How to apply

Send a single PDF containing your CV, cover letter, relevant work samples such as your PhD thesis and 1–3 scientific publications, and the names and contact details of two referees to [email protected]. Applications received by 5 January 2027 receive full consideration; the position remains open until filled.

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