The San Diego State University Department of Psychology seeks to hire a tenure-track assistant professor with expertise in quantitative psychology. The ideal candidate will develop and apply novel quantitative methods to test hypotheses for psychological data collected from various designs, including experimental, quasi-experimental, intervention/prevention, and/or longitudinal. Novel methods may include machine learning, data mining, artificial intelligence, network analysis, Bayesian estimation, psychometrics, advanced structural equation modeling, or advanced multilevel models. The successful candidate will have opportunities to collaborate with researchers across different substantive topics and apply newly developed statistical methods to real-world empirical datasets. The department advocates for a teacher-scholar model, balancing teaching and research. The role involves teaching applied statistics courses at both graduate and undergraduate levels, covering topics such as ANOVA, regression, generalized linear modeling, measurement, structural equation modeling, multilevel modeling, and longitudinal data analysis. The department offers a PhD program in Clinical Psychology (joint with UC San Diego), an MS program in applied psychology (with emphases in industrial/organizational and quantitative methodology), and an MA program in various psychological fields.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree