Assistant Professor of Educational Psychology (Tenure-Line) at Ball State University in Ball State University

  • Company: Ball State University
  • Location: Ball State University
  • Salary: $70K – $75K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-23

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Job description

Position Title: Assistant Professor of Educational Psychology (Tenure-Line) Compensation: $70,000-$75,000 Department: Educational Psychology Start Date: 08/16/2027 About this opportunity: The Ball State University Department of Educational Psychology invites applications for a 9-month tenure-line faculty position in Quantitative Psychology/Quantitative Methodology. The department seeks a scholar with expertise in advanced quantitative methods who will contribute to graduate instruction, methodological research and consultation, interdisciplinary collaboration, and externally funded research. Expertise in emerging methodologies, particularly machine learning and data mining, is highly desirable. The successful candidate will teach graduate courses in statistics, quantitative methods, and research methodology in both in-person and online formats. The position will play an important role in the M.S. in Quantitative Psychology and Ph.D. in Educational Psychology programs through student advising, mentoring of master’s capstone projects, and service on doctoral committees. The successful candidate is expected to maintain an active program of scholarship, pursue opportunities for external funding, and provide service to the department, college, university, and profession. The faculty member will also contribute methodological expertise to faculty research and collaborative projects within the department and across the university. This position offers substantial opportunities for interdisciplinary research and methodological collaboration. We seek a collegial scholar who will contribute to the continued development of the Quantitative Psychology program and expand the department’s methodological expertise in response to evolving research and workforce demands. Rank and salary are commensurate with qualifications and experience. Summer teaching and administrative stipends may be available consistent with university policy. The university will consider sponsorship. What you'll do and what you will bring: Duties and Responsibilities: Teaching Teach three graduate-level research methodology/statistical analysis courses each fall and spring. Courses may be scheduled on campus or online. Scheduled course content could cover: Introductory Statistics Research Methodology ANOVA methodology Multiple Regression Multivariate Statistics/Data Mining Categorical Data Analysis Factor Analysis Latent Variable Modeling Psychometric/Measurement theory Longitudinal Data Analysis Multilevel Data Analysis Scholarship Maintain an active research agenda resulting in dissemination through publication in refereed journals and presentation at conferences. Grant writing and statistical consulting are also desirable. Service Lead curriculum review and continuous program improvement in MS in Quan psychology. Actively engage in university and professional service. Advisement of Masters and Doctoral Level capstone/thesis projects. Serve as a member of department, college and university committees and act as a supportive and collaborative colleague engaging in department discussion and endeavors. ​ Minimum Qualifications: Earned doctorate in Quantitative Psychology, Educational Psychology, Statistics, Research Methodology, Measurement, or a closely related field by date of appointment. At least one semester (4 months) of demonstrated experience mentoring, advising graduate students, with the ability to contribute to master’s thesis and doctoral dissertation committees. At least one semester (4 months) regarding evidence of, or potential for, effective teaching of graduate-level quantitative methods/statistics courses. Evidence of, or potential for, an active program of scholarship in quantitative methodology or its applications. Preferred Qualifications: Expertise in machine learning, data mining, and/or computational quantitative methods, particularly applications related to AI and large or complex datasets. Expertise in one or more additional areas such as psycho

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