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Huilin Huang

1 year ago

PhD Positions in Climate-Related Hazards, Fire Modeling, and Flood Prediction at University of Virginia University of Virginia in United States

Degree Level

PhD

Field of study

not provided

Funding

The PhD positions are fully funded for 5 years, including tuition and stipend. Personalized mentorship and opportunities for interdisciplinary collaboration and international engagement are provided.

Deadline

Expired

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Country

United States

University

University of Virginia

About this position

The Environmental Hazard & Climate Resilience (EHCR) Lab at the University of Virginia is recruiting two fully funded PhD students to begin in Fall 2026. The lab focuses on integrating remote sensing, Earth system modeling, and machine learning to study climate-related hazards such as wildfire, drought, and flood, and their impacts on ecosystems and human communities. Research directions include next-generation fire modeling (ignition, spread, suppression), changes in fire behavior and impacts in a changing environment, and high-resolution snow hydrology and flood prediction.

The group offers personalized mentorship, interdisciplinary collaboration, and international engagement. The PI, Dr. Huilin Huang, is an Assistant Professor in the Department of Environmental Sciences, with expertise in wildfire and land cover change, carbon cycling, and land-atmosphere interactions.

Applicants should have a background in atmospheric science, geography, ecology, hydrology, environmental science, computer science, engineering, or related fields, and experience with programming and numerical modeling. The positions are fully funded for 5 years, covering tuition and stipend. To apply, candidates should submit a cover letter, CV, and GRE/TOEFL scores (if applicable) to Dr. Huang and also apply through the UVA Graduate School portal by January 15, 2026.

Funding details

The PhD positions are fully funded for 5 years, including tuition and stipend. Personalized mentorship and opportunities for interdisciplinary collaboration and international engagement are provided.

What's required

Applicants must hold a B.S. or M.S. degree in atmospheric science, geography, ecology, hydrology, environmental science, computer science, engineering, or a related field. Experience with programming and numerical modeling (Python, MATLAB, Fortran, WRF) is required. Strong interest in Earth and environmental sciences is expected. GRE/TOEFL scores may be required for international applicants.

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United States

Research Interests

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