Dr. Jonee Wilson is seeking a postdoctoral researcher to collaborate on two NSF-funded projects that focus on equity and access in mathematics instruction. We seek a collaborator with training and experience in qualitative and/or mixed methods, with an interest in equity in STEM education.

The Validation of the Equity and Access Rubrics for Mathematics Instruction (VEAR-MI) project is a four-year study with the main goal of validating the EAR-MI (Equity and Access Rubrics for Mathematics Instruction), a new measure developed to capture practices aimed to support marginalized students in gaining access and more equitably participating in rigorous mathematical activity in elementary and middle-school classrooms.

The Honoring Equity and Access in Mathematics Instruction (HEAR-MI) project is a four-year study that aims to support instructional coaches & math teachers in enacting more equitable mathematics instruction through the use of EAR-MI rubric based coaching cycles grounded in video recordings of classroom instruction. This position is an annual re-appointment. Continuation of employment is contingent upon continuation of grant funding and successful job performance.

The successful candidate will be expected to:

• Engage in educational research related to equity in STEM education
  
• Become lead author on two or more peer-reviewed papers, co-author on additional work
  
• Participate in qualitative data collection tasks, including conducting interviews
  
• Contributing to and supporting work with study participants (e.g., supporting project managers in recruiting and training instructional coaches for the HEAR-MI project)
  
• Contribute and support development of annual progress reports for NSF
  
• Assist with data cleaning and organization leading up to analysis
  
• Lead qualitative data analysis tasks, including thematic analysis, qualitative coding of data (e.g. interview and video data), literature reviews, etc.
  
• Complete annual review, planning and goal-setting tasks with Dr. Wilson toward the goal of developing a career in education, educational research or academia
  

Minimum Requirements

Education: Doctoral degree

Preferred Requirements

Education: A Ph.D. or Ed.D. in Education, Educational Psychology, Human Development, or a relevant social science discipline.
Experience: Experience with research regarding issues of equity in K-12 education. A strong grasp of the context of math education or education in efforts to support the interpretation of study findings (i.e., determine conceptual/theoretical meaning behind relationships in the data).

Physical Demands

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

Application Instructions

Apply Now . Internal applicants must apply through their Workday profile by searching Find Jobs. Complete an application online with the following documents:

• CV
• Letter of intent describing research interests in equity in STEM education and a description of how training at the UVA School of Education & Human Development fits with their research training and career goals
• Graduate School Transcripts
• Names of three references
• Sample publication

Contact Jasmine Truong for questions about the position. For questions about the application process, contact Margaret We eks. The chosen candidate will undergo a background check prior to hiring per UVA policy.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.