We seek a tenure track Assistant or Associate Professor with expertise in quantitative methods to begin August 2019. Qualifications include a Ph.D. in psychology or a related field and a strong record of achievement in research and teaching. We particularly welcome applicants with expertise and a successful publication record in advanced quantitative and statistical methods such as structural equation modeling, intensive longitudinal data analysis, hierarchical data analysis, multivariate data analysis, Bayesian analysis, and machine learning methods. Preference is for applicants whose substantive research is in social psychology or cognitive psychology, and who can contribute to one of these concentrations.
Responsibilities include maintaining an active program of research, pursuing external funding, teaching undergraduate and advanced graduate quantitative courses, and a willingness to serve as a quantitative consultant to faculty and graduate students. Candidates should be interested in both undergraduate and graduate teaching and invested in the mentorship model of research.