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

This role is for one of our clients Compensation: $70-$90 per hour We are seeking PhD-level Physics experts specializing in General Relativity, Astrophysics, or Cosmology to contribute to a high-impact project with a leading AI research organization. In this role, you will apply your subject matter expertise to a cutting-edge initiative involving advanced large language models (LLMs). You will help create high-quality technical datasets that support the development of next-generation AI systems by designing challenging domain-specific problems and contributing deep physics insights.

This role is for one of our clients Compensation: $70-$90 per hour We are seeking Physics PhD experts specializing in Advanced Quantum Mechanics, Advanced Electrodynamics, or Advanced Classical Mechanics to contribute to a high-impact project with a leading AI research organization. In this role, you will apply your subject matter expertise to a cutting-edge initiative involving state-of-the-art large language models (LLMs). You will help create high-quality technical data that supports the advancement of AI systems by designing challenging physics problems and contributing domain-specific insights that improve model reasoning.

This role is for one of our clients Compensation: $73.29 per hour We are seeking PhD-level Chemistry experts to support a high-impact project focused on improving the quality, reliability, and usefulness of advanced conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real-world questions. In chemistry-related contexts, AI systems must demonstrate accurate mechanistic reasoning, quantitative precision, and a strong understanding of chemical principles across both theoretical and applied domains. This role focuses on evaluating and enhancing how AI models reason about, explain, and communicate chemistry concepts across foundational and advanced topics.