Research and Evaluation Methodology Post-Doctoral Scholar

Classification

Title:

Post-Doctoral Associate

The Research and Evaluation Methodology Program at the University of Florida invites applications for two Postdoctoral Scholar positions. The Postdoctoral Scholars will work with Dr. Wei Li on developing methods and tools for the design and analysis of longitudinal experimental and quasi-experimental studies, conducting Monte Carlo simulations, cleaning and analyzing longitudinal data, presenting findings at academic conferences, and drafting academic papers.

The ideal candidates should have expertise in designing and analyzing longitudinal studies using multilevel modeling, difference in differences (DID), or comparative interrupted time series (CITS) design, as well as experience with statistical software like Stata or R for simulations and package development. However, candidates with expertise in other areas, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, cost-effectiveness analysis, and missing data are also encouraged to apply.

A qualified candidate must hold a doctoral degree or have completed all of the requirements for a doctorate in quantitative research methods, statistics, or a closely related field. Ideally, one candidate would start soon (e.g., Fall 2024 or Spring 2025), while the other would begin in Summer or Fall 2025, with some flexibility in the start dates.

This is a 12-month position funded through an NSF CAREER project on the design and analysis of longitudinal experimental and quasi-experimental studies in STEM education. The position is appointed yearly with the potential to be renewed for multiple years. This position is a time-limited position, and continuation of this appointment is contingent upon research needs and satisfactory performance in the position.

Commensurate with experience and expertise.

A qualified candidate must hold a doctoral degree or have completed all requirements for a doctorate in quantitative research methods, statistics, or a closely related field prior to commencing the position.

• Longitudinal data analysis methods such as multilevel modeling, panel data analysis (e.g., two-way fixed effects model), recent developments in DID methods for staggered timing, or CITS.
• Conducting Monte Carlo simulations using R or Stata.
• Developing R/Stata packages and/or R Shiny Apps.
• Cleaning, managing, and analyzing large-scale longitudinal data using Stata, R, or SAS.
• Causal inference, experimental/quasi-experimental design and analysis.
• Missing data analysis for longitudinal or multilevel studies.

Instructions to Applicants:

To apply, please visit (Use the "Apply for this Job" box below). and reference requisition #533741. If you have any questions or require technical assistance, please contact Human Resources at .

Applicants must submit the following materials:

• A cover letter addressing the required qualifications and your preferred start date.
• A current CV.
• Contact information for three 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).

For applicants who prefer to start in Spring 2025 or earlier, the review of applications will begin immediately. For those preferring a Summer or Fall 2025 start, the review will begin on February 3, 2025. The positions will remain open until filled or until two qualified candidates are selected. For inquiries or nominations, please email the Search Committee Chair, Dr. Wei Li, .edu.

Health Assessment

Required:

No