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Texas Tech University

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PhD Opportunities in AI for Weather, Water & Hydrometeorology at Texas Tech University Texas Tech University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

Texas Tech University

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Keywords

Computer Science
Data Science
Geology
Environmental Science
Remote Sensing
Geography
Hydrology
Atmospheric Science
Earth Science
Hydrometeorology
Statistics
Physics

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About this position

Professor Jiangtao Liu is recruiting two PhD students for the Atmospheric Science Program at Texas Tech University in the United States.

The openings focus on AI for weather-water prediction, hydrometeorological extremes, multimodal Earth observations, geoscience foundation models, and physics-informed AI. This is a strong fit for students interested in the intersection of Earth Science, Computer Science, Environmental Science, Geography, Physics, and quantitative data-driven research.

Preferred backgrounds include hydrology, atmospheric science, geoscience, remote sensing, GIS, computer science, data science, or other related quantitative fields.

No funding details or deadline are stated in the post. The post indicates the openings are for Spring and Fall 2027.

To apply or inquire, contact Jiangtao Liu at [email protected] and review the research website for more information.

Funding details

Available

What's required

Applicants should have a relevant background in hydrology, atmospheric science, geoscience, remote sensing, GIS, computer science, data science, or another related quantitative field.

How to apply

Email Professor Jiangtao Liu at [email protected] to express interest and discuss the PhD opportunity. Review the research website for more details on the group’s work. Mention your background and fit with AI for weather, water, and hydrometeorology.

More information can be found here

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