PostDoc – Structure, Dynamics, And Computation In Data-Driven Neural Networks At Multiple Scales

A postdoctoral researcher position is available in Hannah Choi’s group in the School of Mathematics at Georgia Tech. We are a new computational neuroscience group studying the link between structure, dynamics, and computation in data-driven neural networks at multiple scales. We utilize various mathematical tools to probe how efficient neural computation emerges from the underlying network dynamics and architecture, in close collaboration with leading experimental groups. More information about the group is available at

The ideal candidate should have a strong quantitative background, with a PhD in computational neuroscience, applied math, physics, computer science, or other related fields. Previous experience in neuroscience and/or machine learning is preferred but not required. The position would ideally start as soon as possible (Summer or Fall 2021).


To apply, please send a CV, a research statement, and the contact information for three references to hannahch at with the subject line “postdoc application“. Applications will be reviewed on a rolling basis until the position is filled.

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