[Eeglablist] Postdoctoral Position (EEG) at Stanford in Brain Network Connectivity Research

[Wei Wu]

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently
accepting applications for a postdoctoral fellow focused on sophisticated
analyses of electroencephalography (EEG) data. The focus of this position
is on understanding functional brain networks using a variety of EEG
methods, relating EEG to functional magnetic resonance imaging (fMRI), and
application of connectivity methods in EEG. Additionally, work will focus
on analysis of concurrent transcranial magnetic stimulation (TMS) and EEG
data to understand neural circuit causal mechanisms. A particular emphasis
will be larger-scale application of these tools and data types to treatment
outcome prediction and development of clinic-translatable biomarkers.

The successful applicant will have a PhD in Engineering, Statistics,
Computer Science, Neuroscience, Neurophysiology, Psychology, or related
fields. Experience with EEG data analysis is required. Additionally,
strong quantitative
skills and a programming background are important. Duties will also include
manuscript preparation, presentation of findings at conferences, and
contribution to the preparation of grants. Laboratory and Stanford
resources include research-dedicated 3T and 7T MRI scanners, simultaneous
EEG/fMRI, multiple high density EEG setups, and concurrent transcranial
magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary
commensurate with experience. More information about our ongoing studies
can be found at: http://etkinlab.stanford.edu.

To apply, please send a curriculum vitae, a statement describing research
interests and relevant background and three letters of recommendations, as
well as relevant reprints/preprints of research articles to:

Amit Etkin, MD, PhD
Department of Psychiatry and Behavioral Sciences
Stanford Neurosciences Institute
Stanford University
amitetkin at stanford.edu
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