Research Associate in System and Information Engineering

The Rector & Visitors of the University of Virginia; Charlottesville, Virginia, Evanston Township (VA, MN, IL); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a Postdoctoral Research Associate to join their innovative Sensing Systems for Health Lab. This role involves collaborating with a dynamic team to create AI-enabled digital health systems that leverage mobile and wearable sensing technologies. The successful candidate will have the opportunity to develop robust machine learning algorithms and computational models, contributing to groundbreaking research in personalized behavioral health. If you're passionate about advancing digital health and making a meaningful impact, this is the perfect opportunity for you!

Qualifications

• Ph.D. candidates with excellence in machine learning and signal processing.
• Demonstrated experience in mobile/wearable sensors and human-centered computing.

Responsibilities

• Collaborate on interdisciplinary projects in digital health.
• Develop machine learning algorithms for personalized health interventions.
• Lead manuscripts for submission to journals and conferences.

Skills

Machine Learning

Signal Processing

Mobile/Wearable Sensing

Software Development

Human-Centered Computing

Education

Ph.D. in Computer Science

Ph.D. in Information Science

Ph.D. in Biomedical Informatics

Job description

Postdoctoral Research Associate in "Mobile Sensing for Personalized Digital Health"

The Sensing Systems for Health Lab at the University of Virginia is recruiting highly motivated candidates to collaborate on projects that involve creating and designing novel AI-enabled digital health systems. Experience in areas including mobile / wearable sensing, software development, machine learning, and signal processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from mobile devices like smartphones and smartwatches to deliver health interventions.

Responsibilities:

• Collaborate with team members on interdisciplinary projects in digital health.
• Lead manuscripts for submission to journals and conferences.
• Present research findings at seminars, conferences, and scientific venues.
• Develop innovative and robust machine learning algorithms to personalize interventions.
• Develop computational models from digital health study data.
• Support grant/proposal writing as appropriate.

QUALIFICATION REQUIREMENTS: Candidates will have a Ph.D. in computer science, information science, biomedical informatics, or related field by the start date. They should have demonstrated excellence in one or more of the following fields as evidenced by publications in top tier journals and conferences or software products: machine learning, signal processing, mobile / wearable sensors, human factors, or human-centered computing.

APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter, the most recent CV with a description of relevant experience, publications, and contact information for three references.

Please note that multiple documents can be uploaded in the CV box.

APPLICATION DEADLINE: Review of applications will begin on April 15, 2024, but the position will remain open until filled.The University will perform background checks on all new hires prior to employment.

This is a one-year appointment; however, the appointment may be renewed for an additional one year, contingent upon available funding and satisfactory performance.

For questions regarding this position, please contact Laura Barnes, Professor, Associate Director of Link Lab at [e-mail] .

For questions about the application process, please contact Richard Haverstrom, Academic Recruiter, at [e-mail].

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.