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The University of Texas at Arlington
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9 months ago
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Earth and Environmental Sciences University of Texas at Arlington in United States
Degree Level
PhD
Field of study
Environmental Science
Funding
Full funding availableDeadline
Aug 1, 2026
Country
United States
University
The University of Texas at Arlington

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Suggested positions
Keywords
Environmental Science
Statistical Analysis
Atmospheric Science
Air Quality Management
Earth Science
Atmospheric Dynamics
Climate Dynamics
Wildfire Management
Programming Language
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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Dr. Yunyao Li is seeking a motivated PhD students to join her research group at the University of Texas at Arlington, starting in Fall 2026. These positions offer full tuition coverage and a stipend. The research will focus on air quality modeling, wildfire emissions, and the impact of climate change on air quality.
Candidates with GRE scores are encouraged to contact Dr. Yunyao Li at [email protected] with the subject line “PhD-UTAEES-[Your Name].” Please attach a single PDF file (PhD-2026-[Your Name].pdf) that includes the following documents:
- CV (including GPA, atmospheric science relevant coursework, coding skills, and research experience)
- Transcript
- GRE scores (required)
Application Process: Interested candidates should apply to the PhD program in Earth and Environmental Sciences at the University of Texas at Arlington. Please follow the application instructions carefully and mention your interest in working with Dr. Yunyao Li in your application.
Candidate Requirements:
- A strong interest in atmospheric modeling, air quality forecast, climate change, thunderstorms, wildfires, or atmospheric dynamic.
- A master’s degree in atmospheric science or environmental science.
- Proficiency in programming and data analysis, with experience in at least one programming language (e.g., R, Python, MATLAB, FORTRAN, IDL, NCL, GIS, C, C++). Candidates with FORTRAN experience will be prioritized.
- Prior research experience in air quality modeling, climate, or earth system modeling is highly desirable.