For prospective graduate students

For the 2022-2023 application cycle, the Gershman lab seeks students interested in working on one of the following topics:
1. Cognitive foundations of collaboration.
2. Algorithmic science.
3. Theory-based reinforcement learning.
4. Learning in unicellular organisms.

Applicants should apply through either the Department of Psychology or the Program in Neuroscience. For more information, see FAQ.

Postdoctoral position in computational biology

The Gunawardena and Gershman labs are seeking to hire a postdoctoral fellow to work on computational models of learning in single cells. This position will involve close interactions with experimentalists and theorists as part of a unique interdisciplinary collaboration at the intersection of molecular biology and cognitive science.

The main focus of the project is on habituation, using Paramecium as a model system. On the experimental side, we are developing platforms to expose multiple cells to varying patterns of electrical, optical and mechanical stimulation, to study information processing in response to repetitive and aperiodic signals. On the theoretical side, we are pursuing questions at different levels. Is there a normative account of habituation that would explain its remarkably universality? What molecular mechanisms can account for the habituation found in single cells?

The start date is flexible, ideally between January and June 2023. If you are interested, please contact Jeremy Gunawardena ( and Sam Gershman (

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.