The UCLA Department of Psychology seeks to hire a full-time tenure-track assistant professor in quantitative psychology. We are interested in applicants pursuing innovative research in quantitative methods, broadly defined. Possible areas of specialization include, but are not limited to, advanced latent variable modeling (e.g., structural equation models, latent variable clustering methods, longitudinal transition models), modern research design (e.g., quasi-experimental design, adaptive randomized trials, propensity score methods, causal inference), predictive modeling (e.g., machine learning, data mining, analytic methods for big data), generalized linear models, and statistical modeling of psychological or neurobiological data. Candidates should add to the Department’s existing strengths in quantitative methods, and preference will be given to individuals whose methodological specialization has broad application and connection to ongoing research throughout the Department.

Applicants must hold a Ph.D. in quantitative psychology or psychology, a related data science discipline (e.g., biostatistics), or a related social science or behavioral science field (e.g., education) no later than one year after hire and should demonstrate a strong track record of productive and impactful research. In addition to an outstanding record of research and potential for extramural research support, the successful candidate will demonstrate a history of, or the potential for, contributing to the teaching, mentoring, and service missions of the Department and University, and the candidate should have a demonstrated interest in collaboration with substantive researchers in psychology and the social/behavioral sciences. Applicants with a demonstrated history of teaching and mentoring students from underrepresented groups are encouraged to apply.

Quantitative faculty have ongoing collaborations with researchers within the Department of Psychology and across campus, and UCLA offers a vibrant academic community with an abundance of collaborative opportunities. UCLA has a wealth of quantitative expertise, including groups in biostatistics, statistics, education, quantitative and computational biosciences, the Institute for Digital Research & Education (IDRE), and the Center for Research on Evaluation, Standards, and Student Testing (CRESST), among others. UCLA recently unveiled a campus-wide DataX Initiative to leverage advances in data science and AI to transform research, creative activities, and education across disciplines.

Review of applications will begin as soon as they are received and will continue until the recruitment closing date; candidates are urged to apply before October 9, 2020. Applications should include a cover letter, a C.V., at least 3 letters of recommendation, separate statements of research goals, approach to teaching, contributions to equity, diversity, and inclusion (no more than 3 pages each), and 3 relevant publications. Applications may be submitted to Requests for information should be sent to the search committee at (include JPF05806 in the subject).

We encourage applications from women and minority individuals. UCLA has programs to assist in partner employment, childcare, schooling and other family concerns. For additional information, visit

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination and Affirmative Action Policy (