These positions are part of the same multi‑year R01 project described in our recent postdoctoral fellow announcement (see linked post for full project background and clinical context):
https://biomch-l.isbweb.org/forum/bi...-united-states
Project Overview
The NIH‑funded project focuses on the development and clinical evaluation of a powered neck exoskeleton designed to:
- Restore and support head–neck mobility in individuals with ALS
- Quantify neck muscle strength using robotic measurements
- Adapt assistance as neuromuscular function changes over disease progression
- Cross‑sectional laboratory experiments on activities of daily living
- Validation of robot‑based biomechanical metrics against clinical standards
- A longitudinal cohort study examining functional outcomes and device use
Graduate Research Areas
Depending on background and interests, students may contribute to:
- Human‐subject biomechanics experiments (lab and clinic)
- Wearable robot control and hardware integration
- Motion analysis using motion capture, IMUs, and force measurements
- Clinical data analysis and longitudinal modeling
- Assistive and rehabilitation robotics design
- Translation of engineering tools into clinical research settings
Applicants should have a strong interest in biomechanics, robotic rehabilitation and assistance, and human movement science, with an undergraduate degree in one of the following or related disciplines:
- Mechanical Engineering
- Biomedical Engineering
- Robotics
- Biomechanics
Training Environment
Graduate students will be mentored by Dr. Haohan Zhang, Assistant Professor of Mechanical Engineering, and will be embedded in a highly collaborative research environment that integrates:
- Engineering and clinical research
- Direct interaction with clinicians and patients
- Training in experimental design, data analysis, scientific writing, and research dissemination
Funding & Admission
- These positions are fully funded, with tuition covered at 100% and competitive stipends as research assistants
- Start date is flexible, beginning Fall 2026 or later (e.g., Spring 2027, Fall 2027) by arrangement
Prospective graduate students should email Dr. Haohan Zhang with:
- A brief statement of research interests and career goals
- A CV
- Undergraduate transcripts
- (Optional) Prior publications, theses, or project descriptions
Contact:
Haohan Zhang, PhD
Assistant Professor, Mechanical Engineering
University of Utah
Email: haohan.zhang@utah.edu
Lab website: http://uwrl.mech.utah.edu