[ES_JOBS_NET] Two Fully-Funded PhD Opportunities in Dr. Yunyao Li’s Group at the University of Texas at Arlington (Spring 2025 or Fall 2025)

[Li, Yunyao]

Two Fully-Funded PhD Opportunities in Dr. Yunyao Li’s Group at the University of Texas at Arlington (Spring 2025 or Fall 2025)
Dr. Yunyao Li<https://www.uta.edu/academics/faculty/profile?username=liy8> is seeking two motivated PhD students to join her research group at the University of Texas at Arlington, starting in Spring 2025 or Fall 2025. These positions offer full tuition coverage and a stipend.
The research will focus on air quality modeling and forecasting for extreme weather events (e.g., wildfire, dust storm, thunderstorm, etc.), wildfire emissions, satellite data analysis, and the impact of climate change on air quality.
Candidates are encouraged to contact Dr. Yunyao Li at yunyao.li at uta.edu<mailto:yunyao.li at uta.edu> with the subject line “PhD-UTAEES-[Your Name].” Please attach a single PDF file (PhD-2025-[Your Name].pdf) that includes the following documents:

  *   CV (including GPA, atmospheric science relevant coursework, coding skills, and research experience)
  *   Transcript

Application Process: Interested candidates should apply to the PhD program in Earth and Environmental Sciences at the University of Texas at Arlington<https://www.uta.edu/academics/programs/earth-and-environmental-sciences-phd>. 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 Bachelor’s or Master’s degree in atmospheric science, environmental science, engineering, or a related discipline.
  *   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.

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