The Gait Neuromechanics and Rehabilitation Lab at the University of Vermont, led by Assistant Professor Michael Rosenberg, is seeking 1-2 PhD students for Fall 2026. The lab specializes in developing frameworks and principles to personalize gait rehabilitation, leveraging experimental design, data-driven modeling (including machine learning and AI), and musculoskeletal simulation. Research projects will focus on biophysical and machine-learning-based modeling of gait dynamics during rehabilitation in both non-disabled adults and stroke survivors. Students will be encouraged to build advanced data-driven modeling skills by completing the Graduate Certificate in Complex Systems and Data Science, which provides broad training in computation and theoretical techniques for understanding complex natural and sociotechnical systems. The certificate requires proficiency in calculus, probability and statistics, and computer programming (Python, R, Matlab), with linear algebra highly recommended. The curriculum includes core courses in complex systems, modeling, and data science, as well as electives in neural computation, machine learning, and bioengineering systems. Ideal candidates will have a B.S. or M.S. in Biomedical Engineering, Mechanical Engineering, or Bioengineering, though applicants from other disciplines with relevant experience in human gait analysis and data-driven modeling are welcome. Experience or strong interest in data-driven modeling, machine learning, neuromechanics of locomotion, motion capture (optical, wearable, video-based), and gait rehabilitation is required. The lab's interdisciplinary approach combines biomechanics, neuroscience, and computational modeling to advance personalized rehabilitation strategies. Funding details are not specified, but PhD positions in this context typically include a stipend and tuition coverage. Interested applicants should email Dr. Rosenberg with their CV and a description of their interests and qualifications before submitting a formal application to the BME program. The priority deadline for Fall 2026 is January 1, 2026. For more information, visit the lab's LinkedIn page, the UVM BME program, and the Complex Systems Certificate program. This opportunity is ideal for students passionate about biomedical engineering, gait rehabilitation, and data-driven research in a collaborative academic environment.

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.