Assistant Professor of Psychology (Digital Health) - (2 Positions)
University of Rhode Island · Kingston, RI · 1 wk ago
Full-time
About the role
The Department of Psychology at the University of Rhode Island has embarked on a cluster hiring strategy in the domain of digital health broadly. We are inviting applications for 2 two tenure-track positions at the Assistant Professor level.
Duties and Responsibilities
- Conduct impactful digital health research that applies cutting-edge methodologies or develops novel computational and quantitative approaches aligned with and complementary to departmental strengths (e.g., substance use, health equity, community-engaged research, mental health, child health).
- Teach quantitative methods and/or content courses that are essential to the undergraduate and graduate training.
- Incorporate justice, equity, diversity, and inclusion (JEDI) principles into your research, teaching, and service.
- Leverage digital health technologies including wearable devices, smartphone-based assessments, mobile health interventions, AI-driven tools, and mobile sensing to develop and evaluate data-driven healthcare solutions.
Required Qualifications
- A PhD (or equivalent) in psychology or a closely related field or completion of the degree by September 1, 2027.
- Demonstrated commitment to JEDI through research, teaching, and/or service activities.
- Demonstrated success and/or evidence of promise in obtaining external funding that will support productive research in digital health technologies.
- Demonstrated ability to publish research in major peer-reviewed journals closely aligned with the field, Department, and position in the area of digital health technologies.
- Demonstrated ability in teaching and mentoring graduate and/or undergraduate students.
- Demonstrated proficiency in written and oral communication skills.
- Demonstrated ability to work with diverse groups/populations.
Preferred Qualifications
- Research specialization that includes the application of cutting-edge methods or development of new computational and quantitative approaches in domains relevant to digital health.
- Demonstrated ability to teach quantitative methods and/or content courses that are critical to the undergraduate and graduate training.