Petrone Professorship in Educational Data Science (Associate or Full Professor)

Updated: 4 months ago
Location: Eugene, OREGON
Deadline: ; Open until filled

Apply now Job no:532430
Work type:Faculty - Tenure Track
Location:Eugene, OR
Categories:Education, Instruction, Math, Economics, Sociology, Psychology, Public Policy and Planning, Data Science


Department: Quantitative Research Methods in Education (Department of Education Studies)
Rank: Associate Professor
Annual Basis: 9 Month


Application Deadline

To be assured consideration, complete application files should be received by October 2, 2023. Position open until filled.


Required Application Materials

Please upload the following documents into your online application:
(1) Cover letter expressing interest and qualifications relevant to the position including a description of:
 your teaching (e.g., philosophy, any prior teaching or mentoring experience, and courses you feel qualified to teach)
 your research including your current and planned research activities and interests
 how your work or experiences contribute to equity and inclusion
(2) Curriculum vitae
(3) Three publications that exemplify your work

Note: The online application requires contact information for 3 references. Reference checks will be conducted for finalists.


Position Announcement

The Department of Education Studies (EDST) in the University of Oregon’s (UO) College of Education (COE) is seeking applications for a tenure-line faculty position in Educational Data Science and Quantitative Methods. The successful candidate will be an innovative researcher and educator with demonstrated accomplishment and leadership appropriate to the rank of associate or full professor. Advanced assistant professors may be considered and would be eligible to receive the endowed Petrone Professorship upon receiving promotion and tenure.

We are seeking a colleague with expertise in educational data science and quantitative research methodology. The successful candidate will teach courses in educational data science and advanced quantitative research methods and will play a leadership role in supporting a data science graduate specialization and graduate education in data science. Applications are encouraged from interdisciplinary scholars who can provide evidence of an innovative and collaborative approach to educational data science research and instruction.

This position’s primary instructional duties will be located in the QRME Ph.D. program. It will also include the opportunity to work in Education Policy Leadership, Critical and Sociocultural Studies in Education, and other programs at the university depending on the candidate’s experience, expertise, and interest. The QRME PhD program develops researchers, scholars, and policy leaders who engage in traditions of inquiry that create knowledge and understanding founded in quantitative empirical evidence. The program focuses on building a strong understanding of quantitative methods, studying causal and complex relationships within applied educational, social, and institutional settings, and using research to inform policy and practice in applied educational and social settings. Linked to the QRME PhD are two popular graduate specializations: one in quantitative research methods for PhD students outside QRME and one in Data Science. These specializations serve doctoral students across the COE and UO.

Given that the field of data science is evolving and fluid, we invite applicants from a broad set of methodological backgrounds at the intersection of inferential statistics, machine learning, research design, computer science, domain knowledge, and a variety of philosophical perspectives. The successful candidate will be committed to the continuous development of their own and others’ competencies for fostering diversity and inclusion. The College of Education is dedicated to the UO’s goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment and strongly encourages applications from underrepresented and historically marginalized groups, women, and people with disabilities.

Successful candidates must be able to work effectively with students, staff, and faculty from culturally diverse backgrounds and with multiple intersectional identities, and to help advance diversity, equity, and inclusion in the university community.

The position start date is September 16, 2024.


Department or Program Summary

The COE at the UO is a community of leading researchers and practitioners dedicated to transformational scholarship, integrated teaching, and collaborative practice designed to enhance individual lives and systems within a culture that values diversity and promotes respect and inclusion. The COE is home to 3 academic departments, 14 academic degree programs, 14 research and outreach units, the HEDCO Clinic, and the HEDCO Institute. Our goal at the COE is to set our graduates on career-long paths to purposeful, reflective, creative, and meaningful careers; addressing inequity and racial injustice is a thread that runs through our majors and programs while focusing on critical and effective pedagogies.

The Department of Educational Studies (EDST) in the COE is home to five-degree programs focused on general education: a BA/BS in Educational Foundations (EdF) for undergraduate students ultimately interested in attending graduate teaching licensure programs; the UOTeach master's degree leading to teaching licensure; the Education Policy Leadership (EPoL) master’s degree program; the Ph.D. program in Critical and Sociocultural Studies in Education (CSSE); and the PhD program in Quantitative Research Methods in Education (QRME). EDST is also home to the Sapsik'ʷałá Program that provides fellowships and curricular support to cohorts of Indigenous students enrolled in the UOTeach program and serves as the methodological hub for the College of Education, offering advanced course sequences in qualitative and quantitative research methodologies to students throughout the University, including certificates of specialization in quantitative methods and in data science.

The EDST Department is committed to developing systemic solutions for structural inequality in schools, respecting differences and working with (not on) the communities we serve, and promoting justice both in and through educational institutions. The faculty in EDST have a diverse research portfolio that includes but is not limited to Bilingual and Bicultural Education, Critical and Cultural Studies in Education, Educational Policy analysis, Economics of Education, Educational Psychology research, Environmental Education, Indigenous Studies scholarship on Education, STEM Education, Teacher Education, as well as scholarship on a qualitative and quantitative methodology. The EDST faculty have received award recognition for their scholarship, teaching, and academic service. The successful applicant will demonstrate a commitment to building and sustaining multidisciplinary community and the capacity to contribute to EDST’s record of excellence in scholarship, teaching, service, and commitment to equity and inclusion.


Minimum Requirements

• Earned Ph.D. in Data Science, Economics, Education, Psychology, Public Policy, Quantitative Methodology, Sociology, Statistics, or a closely related field
• Established record of scholarship focused on educational data science, quantitative research methods, or the application of these methods, commensurate with the rank of associate or full professor at a research-intensive university
• Established record of excellence in teaching undergraduate and/or graduate-level data science and quantitative methods courses


Preferred Qualifications

• Professional portfolio of work and scholarship integrating themes of equity, diversity, and inclusion
• History of scholarship on data science applications related to diversity, equity, inclusion, and social justice in education from a critical and/or constructivist perspective, including quantitative critical race theory
• Demonstrated record of external research funding
• Established record of high-quality mentorship of graduate and undergraduate student research, particularly at the master’s and/or doctoral level
• Demonstrated expertise in some or all of the following: modern statistical computing, modeling, and programming -- including the use of machine learning, data mining, artificial intelligence, or other data-intensive algorithms, as well as publications that demonstrate the ability to develop/use accessible code, data, tools, and/or software
• Demonstrated experience working collaboratively and collegially in an interdisciplinary and ideologically diverse department, college, and university


About the University

The University of Oregon is one of only two Pacific Northwest members of the Association of American Universities and holds the distinction of a “very high research activity” ranking in the Carnegie Classification of Institutions of Higher Education. The UO enrolls more than 20,000 undergraduate and 3,600 graduate students representing all 50 states and nearly 100 countries. In recent years, the university has increased the diversity of its student body, as well as campus-wide efforts to build a welcoming, inclusive community. The UO’s beautiful, 295-acre campus in Eugene features state-of-the-art facilities in an arboretum-like setting. The UO is located in Eugene, a vibrant city of 171,000 with a wide range of cultural and culinary offerings, a pleasant climate, and a community engaged in environmental and social concerns. The campus is within easy driving distance of the Pacific Coast, the Cascade Mountains, and Portland.

The UO is located on Kalapuya Ilihi, the traditional indigenous homeland of the Kalapuya people. Following treaties between 1851 and 1855, Kalapuya people were dispossessed of their indigenous homeland by the United States government and forcibly removed to the Coast Reservation in Western Oregon. Today, descendants are citizens of the Confederated Tribes of Grand Ronde Community of Oregon and the Confederated Tribes of Siletz Indians of Oregon, and continue to make important contributions in their communities, at UO, across the land we now refer to as Oregon, and around the world (see more at: https://inclusion.uoregon.edu/)


The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans and paid time off. For more information about benefits, visit http://hr.uoregon.edu/careers/about-benefits .

The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us at [email protected] or 541-346-5112.

UO prohibits discrimination on the basis of race, color, sex, national or ethnic origin, age, religion, marital status, disability, veteran status, sexual orientation, gender identity, and gender expression in all programs activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited UO policy. Questions may be referred to the Title IX Coordinator, Office of Civil Rights Compliance, or to the Office for Civil Rights. Contact information, related policies, and complaint procedures are listed on the statement of non-discrimination .

In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online at https://clery.uoregon.edu/annual-campus-security-and-fire-safety-report .



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