Postdoctoral Fellowship in Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation
University of Pittsburgh School of Medicine
October 5, 2018
Full Time - Experienced
Academic / Research
A postdoctoral position for the project “Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation Using Cortical and Subcortical Sensing” is available at the University of Pittsburgh. This 3-year position is funded through a U.S.-German Collaborative Research in Computational Neuroscience (CRCNS) R01 grant through NINDS to co-Principle Investigators Mark Richardson, MD, PhD (Neurosurgery) and Rob Turner, PhD (Neurobiology) at the University of Pittsburgh, and co-investigator Tom Mitchell (Machine Learning) at Carnegie Mellon University. Our German collaborators are Andrea Kühn and Julian Neumann (Neurology) at Charité Universitätsmedizin Berlin and Benjamin Blankertz (Computer Science) at Technische Universität Berlin.
This research project builds upon the extensive and unique experiences with multi-day, extra-operative recording from DBS leads in patients at Charité Hospital and with intraoperative ECoG and DBS recording from patients at the University of Pittsburgh. The overall goal of this project is to establish intelligent algorithms to identify physiological and pathophysiological states in ECoG data that predict epochs during which stimulation would facilitate movement or reduce symptoms. The position is based in the Brain Modulation Lab, within the Department of Neurological Surgery in the University of Pittsburgh School of Medicine.
Interviews may be available to highly qualified candidates at the Society for Neuroscience meeting in San Diego.
The postodoctal fellow will be expected to develop techniques for multi-feature classification from cortical and subcortical recordings, including real-time classification, using advanced machine learning algorithms, working closely with the whole research team. Candidates should have a PhD in computational neuroscience or machine learning, with an excellent productivity record in machine learning-related work. Previous work with human intracranial electrophysiology is strongly desired.
Internal Number: CRCNS1
About University of Pittsburgh School of Medicine
The Brain Modulation Lab, led by Mark Richardson, MD, PhD, is a systems neuroscience lab that studies human brain electrophysiology and cognition in patients undergoing surgery for epilepsy and movement disorders. The overall goal of our work is to facilitate the optimization of brain modulation therapies and the discovery of novel neurobiological targets, by filling critical gaps in our understanding of human brain function.