Postdoctoral Researcher in Machine Learning for Digital Biomarkers and Wearable Robotics Stevens Institute of Technology in United States

Stevens Institute of Technology is advertising a Postdoctoral Researcher opportunity in machine learning for digital biomarkers within the Wearable Robotic Systems Lab. The project is based in Hoboken, NJ, with collaboration at Columbia University Irving Medical Center in New York, NY.

The research focuses on developing insole-based functional digital biomarkers for neuromuscular disorders. The successful candidate will work on real-world gait monitoring using cloud-connected instrumented insoles and advanced machine-learning pipelines to derive novel digital mobility outcomes (DMOs) and evaluate disease progression.

Core research themes include machine learning, signal processing, wearable sensor technologies, gait analysis, and translational clinical research. Responsibilities include building and evaluating supervised ML models for spatiotemporal and kinetic gait DMOs, collaborating with clinical experts, publishing in peer-reviewed journals, presenting at conferences, mentoring graduate students, contributing to grant writing, and supporting technology transfer and commercialization.

Eligibility requirements include a Ph.D. in Computer Science, Electrical/Computer Engineering, Biomedical Engineering, Mechanical Engineering, or a related field. Applicants should have strong ML and/or wearable sensing experience, with gait analysis or digital biomarker experience highly desirable. MATLAB proficiency is required, and Python is preferred. A strong publication record and excellent communication skills are also expected.

Applications are encouraged by 2026-06-15, though the position will remain open until filled. To apply, email a cover letter, CV, and three professional references to [email protected].