Postdoc on Gender Bias in Film

Do you want to quantify how movies shape gender and power? Join a short, focused postdoc to help finish a large-scale project mapping gender bias in film. You will turn a mature dataset and clear hypotheses into publishable results.

You will join an interdisciplinary team studying how creative teams in the film industry relate to on-screen portrayal of women and how viewers respond across time and cultures. The project is in an advanced stage: core data are assembled and analysis pipelines are underway. Working closely with the principal investigator and collaborators, you will complete the main analyses, stress-test robustness, and contribute to the writing of the paper.

• Run and refine analyses on existing datasets
• Check robustness, document decisions, and prepare clear outputs for reuse
• Contribute to writing a manuscript for submission to an international journal
• Take part in lab meetings and research discussions

• Must-have: You have completed a PhD in psychology, computational social science, or closely related field
• Must-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python).
• Good-to-have: You have worked with large-scale text data, natural language processing, or network-based analyses

You will work with a rare, multi-source dataset and a project that is at an advanced stage, so your contributions can quickly become visible outputs. The role offers close mentorship from the principal investigator, room to shape the final analyses, and opportunities to co-develop follow-up funding ideas (including contributing to a new grant application). The fulltime position is for 6 months, starting March 1st 2026

You will be based in the AARTSS Lab within the Social Psychology group, which is highly collaborative and feedback-oriented. On this specific project, you will work closely with the principal investigator and an international network of researchers across institutions (including UvA, Stanford University, and University of Minnesota), combining perspectives from social psychology, data science, and computational social science.

If you recognize yourself in this profile and are interested in the role, we look forward to receiving your motivation letter (max 1 page) and brief CV (including educational background, publications, ongoing projects). You can apply via the red button until 3 February 2026. Interviews will take place on 6 February 2026. In case of equal qualifications, internal candidates will be given preference over external candidates. For questions about the vacancy, you can contact Eftychia Stamkou (e.stamkou@uva.nl).

No agencies please.