The Quantitative Methodology: Measurement and Statistics (QMMS) program in the Department of Human Development and Quantitative Methodology (HDQM) in the College of Education at the University of Maryland, College Park, is seeking applications for a tenure-track faculty appointment at the Assistant Professor level starting August 2027. Successful applicants will be expected to conduct cutting-edge scholarly research, deliver effective, high-quality teaching to graduate and/or undergraduate students, and engage in professional service at the university and other professional communities.
The QMMS Program has a typical enrollment of around two dozen students in its doctoral and master’s programs, most of whom are full-time with some form of financial support. Faculty research interests and additional information about QMMS can be found by visiting the HDQM departmental website: https://education.umd.edu/academics/departments/hdqm/qmms.
Physical Demands:
Requires prolonged periods in a stationary position, as well as movement throughout campus and other work locations. May be required to lift, carry, or transport materials and equipment between meetings, classes, and other work-related activities.
Preferences:
N/A
Licenses/ Certifications:
N/A
Minimum Qualifications:
Qualified candidates should have an earned doctorate in an appropriate and related field and conferred by May 2027.
Applicants should possess an exceptionally strong background in quantitative methods as applied in education, the social, behavioral, and/or biological sciences.
Applicants should demonstrate evidence of outstanding scholarly research and interest in participating in collaborative research projects.
All applicants are expected to possess excellent teaching skills including the ability to incorporate the latest insights from methodological research and practice into existing and new courses.Additional Job Details
Required Application Materials:
- Cover letter summarizing qualifications.
- Current Curriculum Vitae.
- Reprints of at least one, but no more than three, scholarly publications.
- Names, phone numbers, and email addresses of three individuals who may be contacted by the committee as references.
Best Consideration Date: 9/15/2026
Posting Close Date: N/A
Open Until Filled: Yes
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
For more information on Regular Faculty benefits, select this link.
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment EligibilityThe successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO StatementThe University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.
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Skills Required
- Earned doctorate in an appropriate and related field conferred by May 2027
- Exceptionally strong background in quantitative methods applied to education, social, behavioral, and/or biological sciences
- Evidence of outstanding scholarly research and interest in collaborative research projects
- Excellent teaching skills, including ability to incorporate latest methodological research into courses
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