Postdoctoral Fellow-Clinical Evaluation of Wearable Robotics.
This job is no longer available
There are still lots of open positions. Let's find the one that's right for you.
About The Position
The Postdoctoral Fellow position at Georgia Tech focuses on the clinical evaluation of wearable robotics, specifically aimed at enhancing mobility post-stroke. This role is part of a collaborative effort between the EPIC lab at Georgia Tech, the PoWeR lab at Georgia Tech, and the Emory Rehab Hospital Motion Analysis Lab. The successful candidate will engage in an NIH-funded project that aims to develop autonomous wearable robotic systems. The research will involve a multi-disciplinary team of experts in engineering, prosthetics, orthotics, and physical therapy, working together to leverage novel self-adaptive AI systems to optimize the performance of hip and ankle exoskeletons. The project will also incorporate biofeedback mechanisms to enhance motor learning during post-stroke gait rehabilitation. The postdoctoral research associate (PRA) will be expected to contribute to the development of training and biofeedback systems that improve gait mobility in stroke patients using assistive devices. The PRA will have the opportunity to expand the project based on their expertise and interests, exploring areas such as bi-directional assistive technology communications, haptic feedback, sensory augmentation, and the incorporation of neurophysiological outcomes in the context of exoskeleton-assisted feedback. The mentorship philosophy emphasizes providing guidance and support to help the PRAs develop independent research avenues aligned with the project's objectives and their future career goals. The PIs will assist the PRAs in acquiring essential skills for launching an independent scientific career, including advising, grant writing, and project management. Additionally, the PRAs will gain experience in mentoring junior graduate and undergraduate students on various projects within the lab, with training focusing on concept ideation, protocol design, and rigorous experimental research implementation to test human performance with wearable robots.
