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Postdoc Opening in Wearable Sensing and Machine Learning for Digital Biomarkers (Hoboken/New York City) – 2nd Call

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  • Postdoc Opening in Wearable Sensing and Machine Learning for Digital Biomarkers (Hoboken/New York City) – 2nd Call

    Location: Wearable Robotic Systems Lab, Stevens Institute of Technology (Hoboken, NJ), with a secondary appointment at Columbia University Irving Medical Center (New York, NY)

    Position Description: The Wearable Robotic Systems Lab at Stevens Institute of Technology is seeking a talented and highly motivated Postdoctoral Researcher to join our team in developing disease-specific walking-related digital biomarkers for neuromuscular disorders. This project leverages real-world gait monitoring technology (instrumented insoles developed by the project team) and advanced machine learning models to identify digital mobility outcomes (DMOs) reflecting symptomatic severity in progressive neuromuscular disorders and evaluate the DMOs’ ability to predict disease progression longitudinally, in terms of ambulatory function.
    The successful candidate will join an interdisciplinary team consisting of researchers from Stevens Institute of Technology (Engineering Lead), Columbia University Medical Center (Clinical Lead), Stanford Medicine, and Harvard Medical School/Boston Children’s Hospital (Clinical Sites).

    Responsibilities:
    • Oversee the development of the next-generation AI-Sole, AI-enabled instrumented insoles for stride-by-stride spatiotemporal and kinetic gait monitoring in natural environments, leading hardware, firmware, and data processing efforts.
    • Develop and apply supervised machine learning regression models to identify spatiotemporal and kinetic DMOs reflecting walking function, and evaluate their clinimetric properties.
    • Collaborate with clinical partners and participate in project meetings.
    • Publish research findings in high-impact journals, and present at conferences.
    • Supervise graduate students and contribute to grant writing.

    Qualifications:
    • Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field.
    • Strong background in machine learning, signal processing, and wearable sensor technologies.
    • Experience with gait analysis and digital biomarkers is highly desirable.
    • Proficiency in MATLAB (required) and Python (preferred).
    • Excellent communication skills and a track record of peer-reviewed publications.
    • Strong work ethic, time management skills, and the ability to work independently and collaboratively.

    Application Instructions: Candidates should send a cover letter (limited to one page), CV or Resume, and contact information for three professional references to damiano.zanotto@stevens.edu. The position is primarily located in Hoboken, NJ, a vibrant city directly across the Hudson River from Midtown Manhattan, New York City. The position is available immediately and is for a one-year term initially, with the possibility of extension based on performance. We encourage candidates to apply by July 15, 2024, but will continue to review applications until the position is filled. For questions contact Damiano Zanotto at damiano.zanotto@stevens.edu.

    --
    Damiano Zanotto, PhD
    Associate Professor
    Department of Mechanical Engineering
    Stevens Institute of Technology
    Hoboken, NJ
    Phone: (201) 216 8296
    Wearable Robotic Systems Lab: www.wrslab.com
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