The Gait Neuromechanics and Rehabilitation Lab at the University of Vermont, directed by Professor Michael Rosenberg, is recruiting a PhD student for research in data-driven neuromechanical modeling and gait rehabilitation. The lab focuses on developing biophysical and machine-learning-based models to personalize gait rehabilitation, particularly for non-disabled adults and stroke survivors. Students will have the opportunity to pursue the UVM Complex Systems Graduate Certificate, expanding their expertise in interdisciplinary approaches.

Research topics include human gait analysis, neuromechanics of locomotion, motion capture technologies (optical, wearable, video-based), and the application of machine learning to rehabilitation science. The ideal candidate will have a background in Biomedical Engineering, Mechanical Engineering, or Bioengineering, but applicants from related fields with relevant experience in data-driven modeling and gait analysis are encouraged to apply. Experience or strong interest in machine learning, motion capture, and rehabilitation is preferred.

Applicants should contact Professor Rosenberg via email before submitting a formal application to the BME program, providing a CV and a statement of research interests and qualifications. The position is open for Spring or Fall 2026 start dates. Funding details are not specified in the announcement. The University of Vermont offers a collaborative research environment and opportunities for interdisciplinary study in complex systems and rehabilitation science.