Open Rank (Professor, Associate or Assistant) AI, Sensors, and Human Movement

About the Opportunity

About Northeastern

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Arlington, Charlotte, North Carolina; Miami; London; Portland, Maine; Oakland; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

The Bouvé College of Health Sciences has over 250 faculty members, with approximately 2,000 undergraduate and 2,400 graduate students. It is the leading national model for education and research in the health, psychosocial and biomedical sciences and supports the University’s mission of educating students for a life of fulfillment and accomplishment and creating and translating knowledge to meet global and societal needs.

The Department of Physical Therapy, Movement, and Rehabilitation Sciences is located within Bouvé College of Health Sciences and comprises 40 faculty members, some with joint or affiliated appointments across other colleges, who are internationally known for their study of rehabilitation sciences and brain and cognitive health. The Department offers one of the most established and largest Doctor of Physical Therapy programs in the country, along with Ph.D. and Master's programs in Human Movement and Rehabilitation Sciences, and a Sports Physical Therapy Residency Program. Artificial intelligence (AI) is integrated throughout programs at Northeastern, and our Master’s program features a dedicated AI concentration.

About the Opportunity

We are seeking highly motivated individuals for an open-rank tenure track or tenured faculty position. Candidates should have an active research program at the intersection of artificial intelligence, sensors, wearable devices, and human movement. The ideal candidate will demonstrate experience conducting interdisciplinary research with healthy or clinical populations that applies AI models to predict relevant health outcomes from wearable sensors. Applicants who focus on early warning and detection systems, models combining wearables and electronic health records for clinical decision support, or human-centered AI applications will be given priority. Candidates working in AI without a human movement, rehabilitation, or health focus will not be considered.

The primary appointment will be within the Department of Physical Therapy, Movement, and Rehabilitation Sciences in Bouve with a secondary appointment in another college that is in line with the candidate’s research expertise.

Our tenure and promotion process values collaborative research and teamwork. Hires will be mentored for success, with mentoring teams and group guidance. In addition, a strong and effective faculty development strategy is part of the Northeastern institutional mission. The ADVANCE Office of Faculty Development office works in conjunction with the Office of Research Development (ORD), the Center for Advancing Teaching and Learning Through Research (CATLR), and University Decision Support (UDS) to provide programs and trainings to further develop and support a thriving faculty.

Resposibilities

Responsibilities will include teaching undergraduate and graduate courses, conducting an independent and externally funded research program, and participating in departmental, college, and university service. Qualified candidates must be prepared to work with global student populations.

Qualifications

• PhD in kinesiology, movement/rehabilitation science, engineering, human computer interaction, human factors, or related field is required.

• Established line of inquiry including AI and sensors/wearable devices.

• Demonstrated experience writing and submitting grants commensurate with candidate’s rank.

• Interdisciplinary, team research that engaged individuals from other discipline but is focused on health outcomes.

• To be considered at the Associate level or higher at least 5 years of academic or equivalent experience and evidence of funding is required.