Assistant Professor in Quantitative Methods and Computational Psychology

The Department of Psychology's Quantitative Methods and Computational Psychology area within the Dornsife College of Letters, Arts and Sciences at the University of Southern California welcomes applicants for a tenure-track position with the rank of Assistant Professor. In particular, we seek applicants with strong research programs in quantitative and computational methods, broadly defined, particularly in one or both of the following areas: 1. psychometrics /measurement, 2. machine learning and artificial intelligence. We are particularly interested in candidates developing new quantitative approaches to address methodological challenges in psychological and behavioral research, with broad application and expertise that complements other areas in the Psychology Department.

The appointment is expected to begin in August 2027. Candidates must have completed their Ph.D. and demonstrate an excellent doctoral and/or post-doctoral record that includes a strong track record of publications and potential to secure extramural funding. The department aims to foster a diverse intellectual community and strongly encourages applications from all underrepresented groups.

Applicants should submit a cover letter, current CV, representative publications, a list of three to five names who can provide letters of reference, and separate statements describing their research, teaching, and service. In order to be considered for this position, all candidates must apply via the "Apply" link at the top or bottom of this page.

For questions related to the search, please contact Richard John, richardj@usc.edu. We encourage candidates to apply by December 1st for full consideration. More information about the program at USC can be found at the following website: https://dornsife.usc.edu/psyc/.

The annual base salary range for this position is $115,000 - $139,125. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.