Postdoctoral

Stevens Institute of Technology; Hoboken (NJ); On-site; USD 27,000 - 32,000; Full time

Job summary

Stevens Institute of Technology invites applications for a Post Doctoral position to advance AI-enabled wearable technologies for human movement analysis. The role involves collaboration with faculty, clinical partners, and research staff, publishing work, mentoring students, and supporting future initiatives.

The candidate will oversee the AI-Sole project, develop ML models, and contribute to grant proposals and dissemination at national and international venues.

Qualifications

• PhD in a relevant field required.
• Demonstrated research experience in ML/AI, wearables, biomechanics, digital health, or related disciplines.
• Experience developing and validating ML models for biomedical or human movement applications.

Responsibilities

• Oversee development of AI-enabled instrumented insoles for gait monitoring; lead data processing.
• Develop and apply supervised ML regression models for DMOs reflecting walking function.
• 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.

Skills

Python

MATLAB

R

Education

Ph.D. in Biomedical Engineering

Ph.D. in Computer Science

Ph.D. in Electrical Engineering

Ph.D. in Mechanical Engineering

Ph.D. in Data Science

Ph.D. in Kinesiology

Job description

Job Description Stevens Institute of Technology invites applications for a Post Doc to support innovative research in artificial intelligence, wearable sensing technologies, and digital health. The Post Doc will contribute to externally funded research focused on the development of next-generation AI-enabled wearable technologies for human movement analysis. The successful candidate will collaborate with faculty, clinical partners, and research staff while advancing machine learning methodologies, publishing scholarly work, mentoring graduate students, and supporting future research initiatives.

Essential 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 data processing efforts.
• Develop and apply supervised machine learning regression models to identify spatiotemporal and kinetic digital mobility outcomes (DMOs) reflecting walking function and evaluate their clinometric properties.
• Collaborate with clinical partners and participate in project meetings.
• Publish research findings in high-impact journals and present research at national and international conferences.
• Supervise graduate students and contribute to grant writing.

Required Qualifications

• Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Data Science, Kinesiology, or a closely related field.
• Demonstrated research experience in machine learning, artificial intelligence, wearable sensing technologies, biomechanics, digital health, or related disciplines.
• Experience developing and validating machine learning models for biomedical or human movement applications.
• Strong programming and data analysis skills (e.g., Python, MATLAB, R, or similar).
• Excellent written and verbal communication skills, including a strong publication record.
• Ability to work effectively in a collaborative, multidisciplinary research environment.

Preferred Qualifications

• Experience working with wearable sensor data and gait analysis.
• Familiarity with supervised learning methods and statistical model validation.
• Experience collaborating with clinical researchers or healthcare partners.
• Prior experience mentoring graduate or undergraduate students.
• Demonstrated success contributing to grant proposals or externally funded research.

Department Mechanical Engineering Compensation Range

In compliance with the New Jersey Wage Transparency Act, the semi-monthly base range for this position is 2,645.00- 2,645.00. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials. This pay range represents base pay only and excludes additional forms of compensation, such as incentives, stipends, or other applicable pay components.

For a full overview of our benefits offerings, please refer to the Stevens Institute of Technology Benefits Guidebook, available at: Benefits Guidebook

EEO Statement

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff.

Jeanne Clery Disclosure

In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Stevens Institute of Technology is a premier, private research university in Hoboken, New Jersey, overlooking the Manhattan skyline. Stevens prepares its more than 8,000 undergraduate and graduate students for an increasingly complex and technology-centric world, leveraging finance, computing, engineering and the arts to confront the most challenging problems of our time with innovative teaching and research. The university is in the top 1% nationally of colleges with the highest-paid graduates.