The Graduate Program in Psychometrics at Morgan State University, housed within the Department of Psychology in the College of Liberal Arts, invites applications for a 9.5-month tenure-track position in Psychometrics at the rank of Assistant or Associate Professor.
Candidates must have a PhD in Psychometrics, Quantitative Psychology, Educational Psychology, or a closely related field, along with a strong program of research and training in Psychometrics or Quantitative Methods. Candidates without a PhD in Psychology or one of the referenced subfields should have a background in Psychology at the Master’s or Bachelor’s level. Must have a minimum of two years of experience as an instructor of record teaching undergraduate and graduate courses.
Preference will be given to candidates who meet the minimum qualifications with post-doctoral experiences and expertise in quantitative methods. Priority also will be given to candidates who are eligible for prompt appointment to the Graduate Faculty and who can contribute to the program’s growing focus on culturally responsive measurement. Experience in evaluation research and program management is a plus.
Applicants should demonstrate excellence or promise of excellence in teaching, scholarly research and publication, and mentoring graduate students. Candidates will be expected to teach primarily in the Graduate Program in Psychometrics, with occasional teaching in the Undergraduate Program in Psychology. Additionally, candidates will be expected to begin supervising graduate students during the second year of appointment and to contribute to the growth of the Psychometrics program. Candidates will be expected to contribute to the Department’s Center for Predictive Analytics.
The successful candidate will specialize in advanced quantitative methods related to psychosocial and/or educational research. Although the area of specialization is open, candidates must be able to teach basic and intermediate statistics and should be able to teach in some of the following areas: multivariate analysis, item response theory, structural equation modeling, multilevel modeling, Bayesian statistics, longitudinal analysis, robust statistics, multidimensional measurement, data mining, predictive analytics, and/or computer-based assessment, among others. There will also be opportunity to develop new courses in her/his area of specialization
Interested candidates must submit a formal application, along with the following materials: curriculum vitae, official transcripts, a statement of scholarly research interests, statement of undergraduate/graduate level teaching and mentoring philosophy, three representative reprints or preprints, syllabus, and a one-page summary of recent teaching evaluations. Three letters of recommendation are also required.
Applications will not be considered until all required documents, including reference letters, have been received by the search committee. Candidates should not submit additional materials, as they will not considered as part of the application package.