"Assistant Professor in Culturally Responsive AI-Based Technologies"

Location: Philadelphia, PA

Open Date: Jul 23, 2024

Deadline: Jul 23, 2026 at 11:59 PM Eastern Time

The Department of Psychiatry at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure clinician educator track. Expertise is required in the specific area of Implementation of CBT or other evidence-based practices in community mental health settings, particularly those serving historically marginalized communities, as well as the development and evaluation of artificial intelligence based tools to scale these efforts. Applicants must have a Ph.D. degree. Applicants must be a licensed clinical psychologist or license-eligible in Pennsylvania.

Teaching responsibilities may include working with community mental health providers and organizations to implement high-fidelity evidence-based mental health practices, with an emphasis on teaching community providers to use a culturally responsive approach.

Clinical responsibilities may include supervision of postdoctoral fellows in the implementation of CBT, as well as consultation with community providers on the application of CBT and culturally responsive strategies with their clients.

Research or scholarship responsibilities may include leading and collaborating in the development of implementation research and practice; academic scholarship; development of training and implementation resources; and grant/contract funded submissions.

We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.

Qualifications

Application Instructions

To apply, visit https://apply.interfolio.com/149496

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.