Postdoctoral Scholar in Neurorehabilitation

About the Role

Postdoctoral Scholar in Neurorehabilitation at Arizona State University (ASU), College of Health Solutions (CHS).

• 12-month appointment, renewable for up to four one-year terms.
• Position is available as long as within five years from receipt of the doctoral degree.
• Supervised by Drs. Daniel Peterson, Hyunglae Lee, and Edward Ofori.
• Collaborate with faculty and partners across ASU Health and the College of Health Solutions.
• Focus on balance and fall prevention in neurological conditions such as Parkinson's disease and multiple sclerosis.
• Study applied and basic/neurophysiological aspects of balance and gait rehabilitation, with interest in reactive balance and the influence of cognitive ability on balance and posture.
• Utilize approaches including motion capture (motion capture, inertial sensors, EMG) and neuroimaging (fMRI & DTI).
• Opportunity to contribute to multiple projects funded by NIH and Michael J. Fox Foundation.
• Collaborate with individuals across ASU with expertise in multimodal neuroimaging, robotics, AI and machine learning, and psychology.
• Opportunity to collaborate on future grant applications.

Key Responsibilities

• Design data collection tools.
• Collect data.
• Plan and conduct analysis.
• Prepare first-author, peer-reviewed publications.
• Collaborate with other team members.
• Help mentor undergraduate and graduate students.
• Present work at national and international conferences.
• Conduct research (data collection, analysis, interpretation, and manuscript preparation) for publication in high-quality journals.
• Participate in professional activities such as attending conferences.

Requirements & Tech Stack

• Interest in balance, postural instability and falls, and/or gait.
• Experience or interest in one or more of the following domains:
• Neuroimaging Acquisition and Analysis (MRI or mobile brain imaging [e.g., EEG, fNIRS])
• Ability to collect multi-modal biomechanics data (motion capture, force-plates, EMG, etc.)
• Robotics, controls, and machine learning with application toward neurorehabilitation.
• Advanced programming skills in MATLAB; experience in Python programming.
• Experience with wearable sensors, digital mobility outcomes, signal processing, or time-series analysis.
• Experience conducting human-subjects research.

Qualifications

• Doctorate in movement/rehabilitation science, biomedically related engineering fields, motor control, or related field.
• Demonstrated interest in neurological conditions, neurorehabilitation, gait, balance, and/or motor control.
• Demonstrated understanding of research design, statistical approaches and packages (e.g., R, SPSS, etc.).
• Demonstrated ability to work collaboratively within interdisciplinary teams.
• Demonstrated excellent writing skills, both for manuscript writing and proposal development.
• Willingness to participate directly in participant recruitment, experimental testing, and multimodal data collection.