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Noemi Vergopolan

5 days ago

PhD Positions in Hydrology, Landslide Risk, Drought Modeling, and AI at Rice University Rice University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The drought modeling PhD is NSF-funded. No stipend, tuition, or other funding details are stated for either position.

Deadline

Oct 30, 2026

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Country

United States

University

Rice University

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Artificial Intelligence
Civil Engineering
Earth Science
Forecasting
Earth Observation
Statistics

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About this position

Rice University is advertising 2 PhD positions with the Water AI / hydrology research group led by Noemi Vergopolan, Assistant Professor at Rice University.

The openings sit at the intersection of hydrology, geospatial data science, remote sensing, artificial intelligence, and water resources.

PhD 1: Hydrologic Preconditions for Landslides (Spring 2027)
Develop high-resolution, hydrologically informed landslide-risk models for roads, culverts, and stream crossings in collaboration with the USDA Forest Service and DOT.

PhD 2: Drought Modeling and Prediction (Spring 2027 or Fall 2027)
This NSF-funded project will combine land-surface modeling, satellite observations, and farmer-reported drought data to identify local drought typologies and improve drought detection and prediction.

Deadline: October 30, 2026 for the landslide PhD; January 8, 2027 for the drought modeling PhD.

How to apply: Review the details at the linked application page and submit an application by the relevant deadline. The post also points to the group website for more information about the research.

Eligibility highlights: The post does not list formal GPA, test-score, or degree prerequisites, but it is clearly aimed at prospective PhD students with interests in hydrology, remote sensing, AI, and environmental modeling.

Funding details

The drought modeling PhD is NSF-funded. No stipend, tuition, or other funding details are stated for either position.

What's required

Applicants should be interested in hydrology, geospatial data science, remote sensing, and artificial intelligence. The landslide project emphasizes developing high-resolution, hydrologically informed risk models for infrastructure, while the drought project involves land-surface modeling, satellite observations, and farmer-reported drought data. The post does not specify degree prerequisites beyond the PhD opening.

How to apply

Review the position details at the linked page and apply by the stated deadline. The landslide PhD deadline is October 30, 2026, and the drought modeling PhD deadline is January 8, 2027. Interested candidates are encouraged to learn more about the research group before applying.

More information can be found here

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