Postdoctoral Scholar- Research and Evaluation Methodology
University of Florida
- Gainesville, FL
- Permanent
- Full-time
Job Description: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 .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.
Expected Salary:Salary is negotiable, competitive, and commensurate with qualifications and experience.
Minimum Requirements: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.
Preferred Qualifications:
- 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.
Health Assessment Required: NoAdvertised: 23 Feb 2024 Eastern Standard Time
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