The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a Data Scientist position focused on sophisticated analyses of electroencephalography (EEG) data. The focus of this position
is on understanding brain network function, relating EEG to functional magnetic resonance imaging (fMRI), and application of network analysis tools (e.g. graph theory, network-based statistics, etc). A particular emphasis will be on extending findings in the
lab developed using fMRI connectivity analyses to EEG, which can be leveraged as an assessment tool in clinical psychiatric populations. Machine learning methods will also be employed to determine optimal EEG signals.
The successful applicant will have an MS or PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Experience with analysis of EEG data is required. Additionally,
a strong programming background is 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.
etkinlab.stanford.edu
The Etkin Lab strives to understand the neural basis of emotional disorders and their treatment, and to leverage this knowledge to develop novel treatment interventions.
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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