The Computational Behavioral Science Lab at the University of St.Gallen, led by Prof. Dr. Clemens Stachl, is recruiting a postdoctoral researcher for the ACTWELL project. ACTWELL investigates how subjective well-being is expressed in and shaped by everyday behavior, combining large smartphone sensing datasets from Europe and the United States with behavioral logs, contextual data, and self-reports. Using interpretable machine learning, the project studies how activities, contexts, and personal characteristics relate to life satisfaction and momentary well-being over time.
Tasks
- Coordinate research activities in the ACTWELL project together with Prof. Stachl
- Lead one or more ACTWELL work packages, particularly sequence and dynamics analyses
- Process and model high-dimensional, intensive longitudinal smartphone log data
- Develop and validate interpretable machine learning models linking behavior and context to well-being outcomes
- Publish as lead and co-author in psychology, computational social science, and interdisciplinary outlets; present at international conferences
- Maintain reproducible analysis pipelines and preregistrations, and prepare code and materials for open release in line with the project's SNSF Data Management Plan
- Contribute to privacy-preserving data handling and the lab's research ethics practice
- Co-supervise doctoral and master's students; contribute to lab meetings and methods workshops
Requirements
- PhD in psychology, computational social science, data science, cognitive science, statistics, computer science, or a related field, completed by the start date or with the defence scheduled this year
- Strong applied machine learning skills and fluency in R and/or Python
- Experience with intensive longitudinal, sensing, or other high-frequency behavioral data, and with the measurement problems these data raise
- Publication record appropriate to career stage, including at least one first-authored empirical paper
- Commitment to open, reproducible research
- Excellent written and spoken English
Benefits
- Competitive salary (F8)
- Access to unique existing datasets
- Generous conference and research funding
- International collaborations (Stanford, LMU, SODAS)
- Supportive research environment
- Mentoring for competitive postdoctoral fellowships (SNSF, MSCA, Ambizione)
- Relocation support with hybrid work options
- Inspirational work environment
- Executive education network
- Family and career support
- Equal opportunities
- Fit and healthy initiatives
- Modern IT infrastructure
- Nationwide access to scientific information via HSGswisscovery
- Internal and external executive education opportunities, including seminars, e-learning, coaching, and collegial advice
- Financial and time support for external training and executive education
- Culture of cross-functional collaboration and opportunities to build valuable relationships
- Flexible work time models with a variable number of hours per week
- Part-time positions
- 16 weeks of maternity leave
- Subsidised crèche and support with childcare during vacations
- Diverse range of mostly free sports activities and corporate health management campaign weeks
- Fruit in the workplace
- Discounted freshly prepared meals in the canteen
Bist du Teil dieses Unternehmens?
Dieses Unternehmensprofil wurde automatisch erstellt. Wenn du für Universität St. Gallen arbeitest, kannst du das Profil jetzt beanspruchen und verifizieren – kostenlos und in wenigen Minuten.
Über uns
Das Team
The Computational Behavioral Science Lab is part of the Institute of Behavioral Science and Technology (IBT-HSG) and offers a supportive research environment with international collaborations and opportunities for mentoring and professional development.