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Harvard University’s Bionics Lab at SEAS seeks a Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to advance a clinical trial on muscle-driven robotic systems. The role spans neuroscience, engineering, and clinical science, offering hands-on experience with human subjects and electrophysiological data.
The Fellow will work with clinicians, engineers, and neuroscientists to design experiments, perform EMG recordings, analyze data in Python or
Title Fellow in Human-Machine Interface Clinical Research – Bionics Lab
School
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Position Description
The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to join our interdisciplinary research team. This position supports an exciting clinical trial exploring muscle-controlled robotic systems, pushing the boundaries of human-machine interfacing and neuroprosthetics.
You will work at the intersection of neuroscience, engineering, and clinical science, gaining hands‑on experience with human subject research, robotics, and electrophysiological data analysis, while contributing to impactful translational research.
This position offers a unique opportunity to contribute to cutting-edge research in neuroengineering, while working alongside roboticists, neuroscientists, and clinicians. You’ll gain valuable experience in clinical trial execution, device testing, and data science—skills that are highly relevant for future careers in graduate school, medical school, or industry R&D.
The project is fast‑paced and impact-driven, providing significant room for growth, learning, and publication.
Basic Qualifications
Salary Range
$50,000 – $70,000
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
Minimum Number of References Required 2
Maximum Number of References Allowed
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