The School of Forest, Fisheries, and Geomatics Sciences (SFFGS) has teaching, research, and Extension education programs in three broad areas: Geomatics; Forest Resources and Conservation; and Fisheries and Aquatic Sciences. The SFFGS has 70 faculty members, 60 administrative and programmatic staff, 250 graduate students, and 350 undergraduate students. The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant institution, encompassing virtually all academic and professional disciplines, with an enrollment of more than 56,000 students.
Postdoctoral Scholar - Research and Evaluation Methodology Program
Location
United States
Posted
86 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Postdoctoral Scholar - Research and Evaluation Methodology Program
University of Florida
Classification Title: Postdoctoral Associate Classification Minimum Requirements: The appointee must have received the doctorate in a field appropriate to the assigned duties and responsibilities. Job Description: The Research and Evaluation Methodology Program at the University of Florida invites applications for Postdoctoral Scholar positions. Postdoctoral Scholars will work with Dr. Wei Li on multiple funded projects focused on quantitative research methods development and/or the causal evaluation of educational programs. This is a 12-month, time-limited appointment. The appointment is renewable annually for multiple years, contingent upon research needs, funding availability, and satisfactory performance. The start date is flexible, and the position may be performed either in person in Gainesville, FL, or remotely. Expected Salary: Commensurate with education and experience. Required Qualifications: - Doctoral degree in quantitative research methods, statistics, or a closely related field by the start date (or completion of all degree requirements prior to the start date). Preferred: The ideal candidate will have expertise in one or more of the following areas: - Design and analysis of longitudinal studies - Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) - Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS) - Cleaning and managing large datasets from administrative data sources or online learning platforms - Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) - Learning analytics and/or education data mining Candidates with related expertise, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, and methods for handling missing data, are also encouraged to apply. Note: This position does not require expertise in latent growth modeling or structural equation modeling (SEM), and these methods will not be used in this role. Applicants whose primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit. Special Instructions to Applicants: To apply, please visit https://jobs.ufl.edu and reference requisition #539018. If you have any questions or require technical assistance, please contact Human Resources at 352-392-2477. Applicants must submit the following materials: - A cover letter (maximum 1.5 pages) describing how you meet the minimum requirements and highlighting the experiences and skills that align with the preferred qualifications (no need to describe all prior experiences). - Curriculum vitae (CV). - Contact information for three professional references (references will not be contacted until the applicant advances to a later stage of the selection process). - One or two examples of scholarly writing (e.g., a dissertation chapter, conference paper, or peer-reviewed journal article). Review of applications will begin immediately and will continue on a rolling basis. Applications received by March 31, 2026 will receive primary consideration. The position will remain open until filled. For inquiries or nominations, please email the Search Committee Chair, Dr. Wei Li, at wei.li@coe.ufl.edu. This is a time-limited position. Health Assessment Required: No
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