Overview: The Department of Neurosciences in the Cleveland Clinic’s Lerner Research Institute seeks to hire a Postdoctoral Fellow to support federally-funded projects exploring novel neuromodulation approaches for the treatment of Parkinson’s disease and stroke. The position forms part of our interdisciplinary program that brings together Neuroscientists, Biomedical Engineers, as well as physician-scientists from the Center for Neurological Restoration and the Department of Radiology within the number two-ranked hospital in the United States. The neuroscience research community at the Cleveland Clinic spans the research and clinical institutes and includes neuroscientists, biomedical engineers, physicists, mathematicians, geneticists, molecular biologists, and physician-scientists. Investigators within the neuroscience community are supported by one of the top and largest clinical neurological institutes in the country, comprised of more than 200 medical and surgical specialists dedicated to the treatment of neurological and psychiatric disorders. Neuroscience research is supported by state-of-the-art molecular biology labs, small and large animal neurophysiology labs, small-animal MRI, the largest single center repository of human intracranial electrophysiology data bank from patients with epilepsy (subdural grids and SEEG depth electrodes), and one of the most active and integrated neuromodulation centers in the country. Exceptional collaboration possibilities between laboratory and clinical scientists, and access to large populations of patients, provide a unique opportunity for translational investigations.
Responsibilities: The successful applicant will participate in work that combines behavior assessments of therapeutic efficacy of deep brain stimulation (DBS) to carry out a systems-based approach to understanding neurophysiological changes across the sensorimotor brain networks in both humans and preclinical models of disease. The responsibilities will include, but are not limited to: 1) Collection and analyses of electrophysiological data sets, including sensorimotor, behavioral, and cognitive data; 2) Implementation of analyses methods based off of widely available open-source packages for analysis for brain recordings; and 3) Development and implementation of new experimental paradigms.
Requirements: Applicants with a Ph.D. (or equivalent) in neurophysiology, biomedical engineering, signal processing, psychological sciences, or motor control are invited to apply, though preference will be given to candidates with education or experience in array-based multi-unit neuronal or local field potential signal processing techniques. Strong programming skills and experience with Matlab in particular are desirable.
Please send your curriculum vitae, a brief description of research interests and career goals, and contact information for three references to Dr. Kenneth Baker, Department of Neurosciences, via email at: email@example.com.