Jobs · Rhode Island

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.

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