Post-doc opportunity at Cleveland Clinic, OH, USA

Postdoctoral Position in Neurophysiology

Overview: The Neurosciences Department of 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 Stroke and Parkinson’s disease. 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 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 with both invasive (i.e., deep brain stimulation) and non-invasive neurostimulation techniques 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 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 paradigms.

Requirements: 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 potentials signal processing techniques. Familiarity with EEG and MRI analysis software packages (such as Brainstorm, Fieldtrip and FreeSurfer) is preferred. Strong programming skills and experience with Matlab in particular is 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: