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Damiano Zanotto

5 months ago

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

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research position in an interdisciplinary, pharma-sponsored translational research project. The post mentions ongoing grant-writing, technology transfer, and commercialization efforts, but does not specify stipend, salary, or tuition coverage.

Deadline

Expired

Country flag

Country

United States

University

Stevens Institute of Technology

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Mechanical Engineering
Electrical Engineering
Wearable Technology
Gait Analysis
Neuromuscular Disorders
Statistics

About this position

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].

Funding details

Postdoctoral research position in an interdisciplinary, pharma-sponsored translational research project. The post mentions ongoing grant-writing, technology transfer, and commercialization efforts, but does not specify stipend, salary, or tuition coverage.

What's required

Ph.D. in Computer Science, Electrical/Computer Engineering, Biomedical Engineering, Mechanical Engineering, or a related field. Strong background in machine learning, signal processing, and/or wearable sensor technologies is required. Experience with gait analysis, digital biomarkers, or clinical movement data is highly desirable. Proficiency in MATLAB is required and Python experience is preferred. Applicants should have a strong publication record, excellent communication skills, and the ability to work independently and collaboratively.

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Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Exercise Physiology

Human-robot Interaction

Gait Analysis

Orthotics

Fall Prevention