Postdoctoral Research Fellowship in Quantitative Stroke Rehabilitation
Focus: Tracking Therapy Dose with Wearable Sensors and Machine Learning
PI: Heidi Schambra, M.D.

A postdoctoral position is available immediately in the Mobilis Lab of Dr. Heidi Schambra, in the Department of Neurology at NYU School of Medicine. The Mobilis Lab aims to enhance motor recovery after stroke through mechanistic understanding of recovery pathways and using physical training and noninvasive brain stimulation. See

We are currently developing a measurement tool to quantify the training dose of stroke patients undergoing rehabilitation training. It uses a combination of wearable sensors and machine learning algorithms. We expect the postdoctoral fellow to co-lead the continued development of this approach in stroke patients in collaboration with a senior postdoctoral fellow and colleagues in the NYU Center for Data Science.

We are seeking a motivated and enthusiastic candidate with a primary interest in motor recovery after stroke. S/he should have the following:

  • Doctoral experience using motion capture technology (sensor or vision-based), machine learning, and advanced analysis of high-dimensional time series data.
  • Hands-on experience working with human subjects, ideally stroke patients.
  • Ability to work independently and with an interdisciplinary team.
  • Matlab, Python, and Spanish language proficiency is a plus.

Specific responsibilities include:

  • Acquiring movement data in human subjects
  • Labeling videography data
  • Performing analyses
  • Presenting findings at scientific meetings
  • Writing and submitting manuscripts to peer-reviewed journals
  • Contributing to grant proposals
  • Mentoring students or visiting fellows

We will support the fellow’s professional development of her/his academic research career. The postdoctoral fellow will also have the opportunity to learn noninvasive brain stimulation approaches like TMS and tDCS.

Interested candidates should submit (1) a CV, (2) a brief (2 pages or less) cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant’s academic work to Dr. Heidi Schambra at