EEG and Machine Learning Postdoctoral Position at Stanford for Personalized
Medicine

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting

applications for a postdoctoral fellow focused on machine learning and other

sophisticated analyses of electroencephalography (EEG) data. This position is

funded by an NIH Director’s Pioneer Award.

The focus of the position is on creating and applying a variety of data analytic

approaches to large EEG data sets (across individuals, or longitudinally within-

individual) for the purpose of prediction of clinical outcome and tracking of clinical

change. Particular emphasis is on connecting signal processing methodology to the

classification challenges, potential use of deep learning, and building on applications

from other related areas (e.g. brain-computer interface or other decoding efforts). It

is anticipated that this work will contribute to development of clinic-translatable

biomarkers, and will be part of FDA approval-directed efforts ongoing in the lab.

The successful applicant will have a PhD in Engineering, Statistics, Computer

Science, Neuroscience, Neurophysiology, Psychology, or related fields. Advanced

experience with EEG data analysis and/or machine learning 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 are extensive, 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

To apply, please send a curriculum vitae, a statement describing research interests

and relevant background and the names of three recommenders, 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