Postdoctoral Scholar- Research and Evaluation Methodology - University of Florida

Post Doc Associate

The Research and Evaluation Methodology Program at the University of Florida invites applications for a Postdoctoral Scholar. The Postdoctoral Scholar will work with Dr. Wei Li on developing methods and tools for statistical power analyses and optimal sample size computations for longitudinal studies, conducting Monte Carlo simulations, cleaning and analyzing longitudinal data, presenting findings at academic conferences, and drafting academic papers.

The ideal candidate is expected to have one or more of the following: (1) knowledge of statistical methods for longitudinal data analysis, such as multilevel modeling, difference in differences (DID), or comparative interrupted time series (CITS) design, (2) experience conducting Monte Carlo simulations using R or Stata, and/or (3) experience cleaning, managing, and analyzing large-scale longitudinal data using Stata, R, or SAS.

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. The anticipated start date is August 1, 2024, but there is some flexibility. This is a 12-month position funded through an NSF five-year research project on the design and analysis of longitudinal experimental and quasi-experimental studies in STEM education. You can view the NSF award abstract at https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339353.

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.

Salary is negotiable, competitive, and commensurate with qualifications and experience.

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.

• Knowledge of 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.
• Experience of conducting Monte Carlo simulations using R or Stata.
• Experience of developing R package and/or R Shiny App.
• Knowledge of missing data analysis for longitudinal studies or multilevel studies.

Apply to: https://jobs.ufl.edu and reference requisition #530453. If you have any questions or need any technical help, please contact Human Resources at 352-392-2477. Applicants must upload (1) a cover letter addressing the required candidate’s qualifications, (2) a current CV, (3) contact information for three references (references will not be contacted for letters until the applicant has advanced to a later stage of the search process), and (4) one or two examples of scholarly writing (e.g., dissertation chapter, conference paper, or peer-reviewed journal article).

Applications will be reviewed starting on March 25, 2024, and the position will remain open until filled or a qualified applicant is selected. Please send email inquiries or nominations to the Search Committee Chair, Dr. Wei Li, at wei.li@coe.ufl.edu. 

The final candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ .

If accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.