[visionlist] Two Postdoctoral Scholar Positions at Washington University in St. Louis
wangshuo45 at gmail.com
Thu Apr 29 22:19:51 -04 2021
Our lab will be moving to Washington University in St. Louis in July 2021.
We are looking for two highly motivated postdoctoral scholars to work on
NSF and DoD funded projects. One postdoctoral scholar will use human
single-neuron recordings to study the neural circuits underlying social
attention, and the other postdoctoral scholar will use multimodal
neuroimaging techniques to study social behavior and brain networks in
people with autism. The research will be conducted in a highly
collaborative environment using state-of-the-art equipment, facilities, and
analytical methods. The postdoctoral scholars will collaborate with an
established team of investigators within and outside WashU and have ample
opportunity to learn new techniques and methods.
Applicants must hold a Ph.D. in systems, cognitive, or computational
neuroscience, or in physics, electrical engineering, or computer science,
with relevant research expertise in neuroscience. Applicants must also have
strong programming (Matlab or similar) skills. Individuals with previous
human intracranial EEG expertise and/or macaque single-neuron recordings
that wish to expand into human single-unit recordings are encouraged to
Our lab combines multimodal and advanced measurement techniques with
sophisticated computational approaches to understand the neural mechanisms
and neural computations underlying social attention, face processing,
emotion, memory, and decision making. Overarching questions involve how the
brain figures out what is important in the environment, how socially
relevant stimuli pop out and attract attention, how faces are processed and
represented in general, and how memory is modulated by attention. We are
particularly interested in the neural computations underlying these
cognitive processes: multimodal approaches allow us to investigate these
questions from the microscopic single-neuron and neural circuit level using
our state-of-the-art human single-neuron recordings as well as macroscopic
level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These
multimodal experimental approaches are powered by sophisticated
computational approaches that can deal with complex and large datasets.
Shuo Wang, Ph.D.
West Virginia University
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