Publisher
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Kunxiaojia Yuan

Closing soon

1 week ago

Fully Funded PhD Opportunity in AI, Remote Sensing, and Earth System Modeling at University of Houston University of Houston in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 1, 2026

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Country

United States

University

University of Houston

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Keywords

Computer Science
Environmental Science
Remote Sensing
Artificial Intelligence
Earth Science
Statistics
Physics
Machine learning

About this position

Fully funded Ph.D. opportunity at the University of Houston in the Department of Earth and Atmospheric Sciences, with the EcoClimate AI Lab recruiting a new doctoral student to start in Spring 2027.

The position is especially relevant for students interested in artificial intelligence, machine learning, remote sensing, land-atmosphere interactions, extreme-event modeling, coastal resilience, and earth system modeling. The lab appears to focus on climate- and environment-related research that combines data-driven methods with Earth system science.

The announcer is Kunxiaojia (Tammy) Yuan, Assistant Professor at the University of Houston, indicating an academic recruitment post from a faculty member. The post states that the Ph.D. student is fully funded, but does not specify stipend amount, tuition coverage details, or other financial terms in the excerpt provided.

Interested applicants should review the full advertisement on the lab’s opportunities page for the complete qualifications and application instructions. The post does not list a deadline in the text shown.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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