The central goal of our research program is to harness systems neuroscience and neural engineering principles to restore motor function after brain injury (http://gangulylab.org/). The motor network is a highly adaptive system of interconnected cortical and subcortical areas that are implicated in learning and execution. While numerous studies have mapped its functional connectivity and assigned distinct roles to each area, we still lack a detailed understanding of the time-varying functions of the distributed motor system in both the intact and the injured motor network. Our research takes a systems level perspective to the neurobiology underlying motor control under normal and pathological conditions.
We are seeking a full–time post-doctoral fellow to lead a project regarding multi-site recordings in awake-behaving animals. Experience with in vivo electrophysiology, behavioral training and computational analysis is essential. The position is funded by a multi-year NIH grant.
PhD, MD, or an equivalent degree is required.
Experience with in vivo electrophysiology, behavioral training and computational analysis is essential.
Experience with optogenetics would be a plus.
1) CV (along with 3 names for potential letters of reference)
2) Outline of past research accomplishments & interests
Additional Salary Information: Salary will be based on level of experience (will be at least $50K).