University of Southern California
Mrs T.H. Chan Division of Occupational Science and Occupational Therapy
Neural Plasticity and Neurorehabilitation Laboratory | News

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NPNL Job Opportunity

Nov 21, 2017

UPDATE: This position has been filled - thanks for the interest!

The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) of the University of Southern California, directed by Dr. Sook-Lei Liew, is now looking for a Postdoctoral Fellow with 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 on our website.

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, one-year fixed-term position and can start as early as November 2017. Click here to apply.