Tired of trying to classify pictures of cats from airplanes? Feel like you've exhausted MNIST? Want to apply your neural networks to real brains? Hoping for error metrics that make sick people feel better?
We are part of an experimental study that uses implantable electrodes to stimulate the brain to treat depression patients. Many of these patients respond well, but the treatment requires quantification and standardization to make it a viable and repeatable study. The project is a collaboration with Emory University and the Icahn School of Medicine at Mount Sinai that is providing access to one-of-a-kind human electrophysiology data recorded by implanted deep brain stimulation (DBS) devices *during therapy* in an experimental trial. Essentially, in addition to other data collected from the patient during the trial, we get a rare opportunity to see inside the brain of the individual at the site where electrical stimulation therapy is being applied.
Interested in contributing? A postdoc position is available working jointly with the labs of Christopher Rozell and Robert Butera at the Georgia Institute of Technology (Atlanta, GA). We are looking for a highly motivated and creative individual who enjoys working in an exciting interdisciplinary research environment. This BRAIN Initiative funded research project will use data analysis approaches to develop electrophysiological biomarkers to characterize and optimize deep brain stimulation (DBS) for treatment resistant depression. This is an opportunity to work on an interesting scientific problem that has impact on a very sick patient population.
Applicants should hold a PhD in a related discipline with a strong research record. Experience in areas such as analyzing time-series data (e.g., signal processing and machine learning), computational neuroscience modeling, and experience with neurophysiology data are all positives. The labs are committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required.
The ideal start date is May 2018. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech's campus in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation.
Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to firstname.lastname@example.org with the subject line "ML DBS postdoc". Application review will proceed until the position is filled and should be received by February 19, 2018 for full consideration.