This two-year fellowship position is funded by an Advanced Rehabilitation Research Training (ARRT) grant from the National Institute on Disability and Rehabilitation Research (NIDILRR). The ongoing research areas include (1) balance dysfunction assessment using psychophysical, biomechanical and functional assessments, (2) balance rehabilitation using computerized biofeedback based intervention as well as virtual/augmented reality for individuals with traumatic brain injury (TBI) and stroke.
Qualifying candidates must have a doctorate in engineering (e.g. biomedical, rehabilitation, electrical or mechanical), biomechanics, or a related field. A highly motivated individual with prior experience in mobility related research including gait and posture, biomechanics and motor control is sought. The successful applicant will work as part of a team including research scientists, physicians, physical therapists, study coordinator, engineers and research assistants.
- Contribute to ongoing neurorehabilitation research related to mobility and motor control.
- Work as part of a team consisting of research scientists, physicians, physical therapists, study coordinator, engineers, and research assistants.
- Maintain involvement in the ARRT fellowship program by participating in didactic lectures and other training activities.
- Assist with experimental set-ups, collection, and processing of biomedical data.
- Utilize existing as well as develop novel analyses of the interpretation of the experimental data.
- Submit grant applications to state, federal, and private funding sources independently (under supervision) and/or collaboratively.
- Disseminate research findings through peer-reviewed journal publications, conference abstracts, and presentations.
- PhD in Biomedical Engineering or a closely related field (e.g., biomedical, rehabilitation, electrical, mechanical, biomechanics).
- Prior research experience with human subjects, particularly focused on individuals with TBI and/or stroke.
- Prior experience in mobility-related research including gait and posture, biomechanics, and motor control.
- Strong programming and computational skills in MATLAB and LabView.
- Prior experience in signal analysis, mathematical modeling, and statistical analysis for movement-related research.
- Experience with 3D motion capture, electromyography, force-plates and dynamometers.
- Excellent written and verbal communication skills.
All fellows participate in an extensive training curriculum and didactic offerings. Multidisciplinary mentored training opportunities are individually tailored to achieve specific goals considering each fellow’s prior background and interests. .
Forward your résumé, cover letter (MS Word or PDF) including a statement of research interests, three letters of recommendation from professional associates, and salary requirements to career@KesslerFoundation.org. Please indicate the position(s) for which you are applying in the subject line.