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University of Southern California Postdoctoral Scholar - Research Associate in Los Angeles, California

Postdoctoral Scholar - Research AssociateApplyOccupational TherapyLos Angeles, California

For more than 75 years, the University of Southern California has been working to ensure that people of every age and from every circumstance can live life to the fullest. Throughout the decades, Trojans near and far have advanced the profession of occupational therapy and the research discipline of occupational science. Today, the USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy proudly carries this legacy forward as we aim to improve the quality of life of people and communities across the world.

The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) of the University of Southern California is looking for aPostdoctoral Fellow - Research Associatewith expertise in brain computer interfaces,electroencephalography(EEG), electromyography (EMG) and/or virtual reality (VR).

The laboratory is devoted to the study of neuroplasticity and motor learning in healthy individuals and individuals after stroke. The overall aim is to understand mechanisms of brain plasticity and to apply this knowledge to the development of novel interventions to enhance motor recovery after stroke. The laboratory utilizes neuroimaging (functional magnetic resonance imaging (fMRI)), and behavioral and non-invasive brain stimulation techniques, such as transcranial magnetic stimulation (TMS) and transcranial electric stimulation (tES, including tDCS, tAS, and tRNS). A key portion of research, which will be the focus for this postdoctoral position, involves brain computer interfaces using EEG, EMG, and VR. Research will also entail working with a number of community and clinical partners throughout Los Angeles, California. More information about the NPNL can be found athttp://npnl.usc.edu.

The ideal candidate should have, or will soon have, a doctoral degree in a relevant scientific discipline for the Postdoctoral Fellowship. The successful applicant should be highly motivated, organized, quick to learn, and possess strong written and verbal communication skills. Technical knowledge with Matlab and other programming languages (python, Linux, C++, C#) and environments (Unity), an understanding of research methodology, and experience with EEG data acquisition and analysis, brain computer interfaces, and/or machine learning is strongly preferred.

This position is a full-time, two-year fixed-term position.

Please include a cover letter and a CV as attachments in order to be considered.

REQ20073084 Posted Date: 04/12/2019

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