[ES_JOBS_NET] PhD Positions in Air Quality at Texas A&M

[Wang, Yuzhou]

Job description:
Air Intelligence Research Lab (AIR Lab) is looking for 1-2 self-motivated Ph.D. students to join the Zachry Department of Civil and Environmental Engineering at Texas A&M University, starting in Spring 2026 or Fall 2026. The research topics cover:

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Air Quality Model Development: Develop atmospheric models to predict pollution concentrations from emissions, integrating machine learning approaches.
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Fine-scale Air Pollution Mapping: Predict air pollution concentration at high spatial-temporal resolution using data from satellite remote sensing, low-cost sensors, and other sources.
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Policy Solutions for Air Pollution Exposure: Leverage models to evaluate regulatory, climate, energy, and transportation policies aimed at reducing human exposure and associated health impacts.
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Risk communication using AI: Employ large language models in accessible air quality risk communication to the public.

For more details, please visit: https://yuzhouwang.net.
About Texas A&M:
The College of Engineering at Texas A&M University (https://engineering.tamu.edu/) is ranked in the top 10 in the nation among public universities for its graduate engineering program according to U.S. News & World Report.
The university is located in College Station, just 1.5 hours from Houston and Austin, and 3 hours from Dallas.
What we offer:

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Full financial support, including tuition, stipend, benefits, and professional travel expenses.
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A supportive research environment with mentorship for career development.
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Opportunities for interdisciplinary collaboration.
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Highly qualified domestic students will also be considered for the iGrad program, which provides 3-years of guaranteed fellowship.

Candidate requirements:

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Strong interest in air pollution and data science, with a passion for contributing to the scientific community and informing real-world environmental issues.
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Bachelor's degree in environmental engineering, environmental science, atmospheric science, environmental health, data science, or a related discipline (Master’s degree preferred but not required).
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Proficiency in Python or other programming languages; experience in data analysis and geospatial data analysis is highly preferred.
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Prior research experience in one or more of the following areas is highly preferred: air quality modeling, machine learning, statistical prediction, or satellite remote sensing.
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Excellent scientific writing and communication skills.

How to apply:
Interested candidates are encouraged to contact the PI Dr. Yuzhou Wang at yuzhouw at tamu.edu<mailto:yuzhouw at tamu.edu> with a subject line "PhD Application+Your Name". Please send a single file including: 1) A one-page cover letter highlighting your background, research experience, and interests; 2) Curriculum vitae; 3) Unofficial transcripts. The application deadline is December 15. Review will continue until the position is filled.


Yuzhou Wang
Assistant Professor
Zachry Department of Civil and Environmental Engineering
Texas A&M University
https://www.yuzhouwang.net/
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