The successful candidate will play a strong role in teaching and service during the academic year. As an RMS faculty member, the Visiting Assistant Professor of Practice will undertake specific responsibilities including teaching graduate courses (such as Correlation and Regression, Analysis of Variance, Multivariate Statistics, and Structural Equation Modeling), participating in academic and dissertation advising, and taking on service responsibility to the program, department and college in MCE. The ideal candidate demonstrates experience and versatility in inclusive pedagogy. We are especially interested in qualified candidates who can contribute to diversity, equity and inclusion through their teaching, research, and service. The appointment will commence on January 1, 2022.
The University of Denver's Morgridge College of Education (MCE) invites applications for a one-year, nine-month Visiting Assistant Professor of Practice in the Research Methods & Statistics Program in the Department of Research Methods & Information Science. This is a benefited, full-time, one-year visiting appointment (non-tenure track).
DU is the oldest and largest independent university in the Rocky Mountain Region and is committed to building and sustaining a culturally diverse faculty, staff, and student body. The MCE is located in Katherine A. Ruffatto Hall, a 65,000 square foot complex built in 2010 providing a flexible, innovative, and multidisciplinary learning environment. The facility allows for ongoing dialogue with community, national, and global partners as we enter a transformational era in education.
The Research Methods & Statistics Programs (RMS) philosophy and mission are aligned with MCE to train global leaders who employ innovative and effective approaches to advance learning, development, health and wellness throughout the lifespan, and who promote educational and social equity. RMS provides the courses and experiences necessary to conduct and supervise cutting-edge social science research. Graduates with RMS degrees hold professional positions in testing and program evaluation companies, non-profit organizations, universities, school districts, and state and service agencies, among others. RMS faculty are active in research, pedagogy, and practice; hold leadership positions in professional organizations; regularly contribute scholarly work in their respective fields; and have a strong commitment to teaching, mentoring, and working in partnership with graduate students. The Department of Research Methods and Information Science is strongly committed to building a diverse and inclusive educational environment, which is in full accord with the value that DU places on its commitments to diversity, equity and inclusion. Candidates must demonstrate ability to integrate content and issues relating to, and to work effectively with, ethnically/racially diverse populations.
Specific responsibilities include:
- Teaching masters and doctoral courses in research methods and information science
- Advising graduate students
- Serving on department and college committees
Knowledge, Skills, and Abilities
- Excellent written and oral communication skills.
- Demonstrated knowledge and experience with a variety of teaching methods.
- Outstanding teaching skills.
- Initiative and ability to work both independently and in a collaborative, collegial environment.
- Demonstrated experience interacting with diverse communities or evidence of a commitment to incorporate inclusive teaching methods and/or pedagogies to effectively engage broadly diverse student populations.
- Demonstrated commitment to inclusive excellence, equity, and access in education.
- Exceptional abilities in scholarly and/or creative activities are needed as required by the department/center/school/college and position.
- An earned doctorate in research methods and statistics or a related field or will have completed such a degree by the January 1, 2022 start date.
- An articulated teaching/research agenda with a focus on statistics and quantitative methodology.
- Willingness to share expertise across units within MCE and open to interdisciplinary conversation
- Demonstrated commitment to or experience working with diverse populations.
- Evidence of an excellent record of teaching graduate level research methods and statistics courses both in-person and online.
- Conference presentations and publication in appropriate journals.
- Experience of advising and mentoring graduate students.
For best consideration, please submit your application materials by 4:00 p.m. (MST) February 15, 2022.
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.
Salary Grade Number:
The salary grade for the position is UC.
The salary range for this position is $62,000 - $67,000.
The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidates sex or any other protected status.
The University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.
Please include the following documents with your application:
- Curriculum Vitae
- Cover Letter outlining your alignment with the position including research and teaching interests
- 1-2 page teaching philosophy document
- 1-2 page diversity statement demonstrating commitment to work with diverse populations
The University of Denver is an equal opportunity employer. The University of Denver prohibits discrimination on the basis of race, color, national origin, age (40 years and over in the employment context), religion, disability, sexual orientation, gender identity, gender expression, genetic information, marital status, veterans status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the university's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; Title III of the Americans with Disabilities Act of 1990, as amended in 2008; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For the university's complete Non-Discrimination Statement, please see non‑discrimination‑statement.
All offers of employment are contingent upon satisfactory completion of a criminal history background check.