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Research Position in Stroke Upper Extremity Rehabilitation

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  • Research Position in Stroke Upper Extremity Rehabilitation

    Position Description: This research position is funded by an NIH R01 (2020-2025). Minimum 2 year commitment is required. The position type will be commensurate with the candidate’s credential. Available position types include: Postdoctoral Scholar, PhD student, and Research Engineer.

    Required qualification:
    • Degree in biomedical engineering or related field
    • Mastery of technical skills in setting up and troubleshooting 3D motion capture, force sensor, and EMG systems, programming in MATLAB, LabVIEW, and/or mobile applications, statistical analysis, and IRB
    • Excellent abilities to communicate and work well in teams and mentor/collaborate with others in research
    • Postdoctoral Scholar candidate should have a record of research productivity as evidenced by peer-reviewed journal publications and national conference presentations.

    Preferred qualification:
    • Experience in clinical trials with stroke survivors

    We have an exciting research program in which the new hire will assess the way patients with stroke improve their upper extremity function from new rehabilitation treatments, using motion capture, force sensors, EMG, EEG, and TMS. The new hire will also develop instrumentation for telerehabilitation and interface with collaborators for machine learning for movement classifications. Ample opportunities exist for rich data analysis and research presentations and publications. A Postdoctoral Scholar will develop his/her own research grant proposals to lay the foundation for a research career.

    Research Focus: Our research is focused on developing new upper extremity neurorehabilitation treatments for patients who had a stroke, particularly in fine motor skills such as grasp/release. We develop new platforms for novel therapy. We test new treatments in longitudinal, randomized controlled clinical trials. We characterize the way treatment changes patients’ upper extremity clinical assessments, limb kinetics/kinematics, muscular coordination (EMG), and brain dynamics (EEG, TMS, MRI). We investigate translation of new rehabilitation devices to clinical practice.

    Environment: The new hire will have access to very strong interdisciplinary collaboration with neurology, occupational/physical therapy, engineering, biostatistics, data science, psychiatry, nursing, qualitative research, implementation science, and technology transfer/commercialization. We provide an excellent training environment to grow one’s research career. We provide individualized training in grant writing, journal clubs, clinical research rounds, and career development workshops, through resources from multiple NIH-funded centers on campus, as detailed below.
    1. NIH Center of Biomedical Research Excellence in Stroke Recovery provides monthly rounds of interdisciplinary meetings for science, collaboration, grant development, and strategic initiatives. The center also provides pilot grants and conference opportunities specific to stroke recovery research. https://chp.musc.edu/research/stroke-recovery
    2. NIH Medical Rehabilitation Research Network Center for Neuromodulation for Rehabilitation (NM4R) provides advanced training in neuromodulation techniques such as TMS, EEG, and MRI. The center provides one-on-one mentoring for development of new research ideas, as well as pilot grants. https://chp.musc.edu/research/nc-nm4
    3. South Carolina Clinical & Translational Research Institute provide pilot grants and career development sessions including training in team science, mentorship, and grantsmanship. https://research.musc.edu/resources/sctr

    Contact: Interested individuals may contact Dr. Seo with a CV, statement of interest, and a list of 3 references.

    Na Jin Seo, PhD (seon@musc.edu)
    Associate Professor, Medical University of South Carolina
    https://education.musc.edu/MUSCApps/FacultyDirectory/Seo-Na-Jin
    Health Research Scientist, Ralph H. Johnson VA Medical Center
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