My group at Princeton University is looking for a talented computational postdoc to work on theory-driven modeling and data analysis of the neurophysiology of decision-making. We carry out both computational modeling (e.g., Brunton et al., Science 2013) and experiments (e.g., Hanks, Kopec et al., Nature 2015), and this computational position will provide a powerful opportunity to influence and help direct experiments as they are conceived and develop.

The data to be worked with will focus on simultaneous multi-neuron recordings, both electrophysiological and using two-photon cellular-resolution imaging (e.g., Scott et al., Neuron 2013), in decisions driven by accumulation of evidence. We are working towards single-trial, population-level understanding of the neural circuit mechanisms underlying decision-making.

A background in quantitative sciences (e.g., machine learning, physics, math, computer science) is preferred and a strong interest in neuroscience is required.

Please contact me directly at brody@princeton.edu with a brief email describing your interests, your CV, and the names and contact info for two references.

I look forward to hearing from you!

Carlos Brody