Amit Etkin, MD, PhD
Department of Psychiatry and Behavioral Sciences
Stanford Neurosciences Institute
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.
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 at: http://etkinlab.stanford.edu.
- 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.
- Curriculum Vitae
- A statement describing research interests and relevant background
- Names of three recommenders
- Relevant reprints/prepints of research articles