top of page

Culture Lab

Get Involved

Note to Prospective PhD Applicants


My appointment with Stanford Graduate School of Business is in Organizational Behavior, with an additional appointment by courtesy in Psychology. My current research areas are documented in my recent publications, but we have ongoing projects on cultural tightness-looseness; culture and COVID-19; punishment and revenge; organizational conflict cultures; gender, race and negotiation; culture and self control; expatriation; and forgiveness. I am a generalist and other topics are always welcome, especially if your own interests overlap with mine.

If you are interested in applying to Stanford GSB's PhD program, you can find information on how to apply here. You can also contact me at with any questions. 

Potential Research Assistants

Dr. Michele Gelfand’s Culture Lab at Stanford Graduate School of Business is accepting applications from potential undergraduate research assistants with a social science (e.g. psychology, sociology) or computer science background to work on psychological research projects on culture, social norms, diversity, conflict, and negotiation. Dr Gelfand’s lab uses experimental, big data, computational and neuroscience methods to understand the evolution of culture – as well as its multilevel consequences for human groups.

If you are interested in joining the Culture Lab,  please apply here: 

The Culture Lab is hiring a Postdoc!


Michele Gelfand is looking to hire a postdoctoral researcher to join the Culture lab at Stanford Graduate School of Business. The desired start date of the position is August 15, 2024, and completion of the PhD degree is required before the appointment starts. The postdoc will collaborate with Dr. Gelfand on projects related to culture, trust, conflict, negotiation, stigma and forgiveness, among other topics studied in the culture lab. This is a one-year position, renewable for a second year.


The ideal candidate will have a PhD in social or organizational psychology/ organizational behavior or related field, be proficient with experimental and field methodologies, and have strong knowledge of statistics, including multilevel modeling and experience analyzing big datasets (e.g., longitudinal modeling, cross-cultural and archival data, analyses of social media data, among others) and/or computational modeling. The position will involve substantial input on the development of projects and co-authored work with the PI. It will also involve some work coordinating existing research projects, including working with doctoral students and research assistants.

You can find more information on this position here.

bottom of page