Publisher
source

University of Houston

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

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 21, 2026

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Country

United States

University

University of Houston

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Keywords

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

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About this position

EcoClimate AI Lab in the Department of Earth and Atmospheric Sciences at the University of Houston is recruiting a fully funded Ph.D. student to start in Spring 2027.

The lab focuses on applying artificial intelligence and machine learning to environmental science and Earth system science, with research spanning remote sensing, land-atmosphere interactions, extreme-event modeling, coastal resilience, and Earth system modeling. The group studies how terrestrial and coastal ecosystems respond to climate dynamics and disturbances such as wildfire, flooding, drought, and land-use/land-cover change, with attention to carbon, water, energy, and nutrient cycles.

Preferred applicants should have strong Python and ML/AI skills, ideally with experience using ML/AI on remote sensing, geospatial, or environmental data. The post also emphasizes intellectual curiosity, self-motivation, and a clear research interest aligned with the lab’s themes.

Funding is described as fully funded; no stipend amount is listed. International applicants must meet UH Graduate School admission requirements, including TOEFL/IELTS.

To apply, email Dr. Kunxiaojia Yuan with a single PDF containing your CV, transcript, cover letter, and three references. International applicants should include TOEFL/IELTS transcript. Applications received by 2026-08-21 receive full consideration, and review continues until the position is filled.

The post also notes ongoing recruitment for postdoctoral researchers, Ph.D. and M.S. students, undergraduate research assistants, and visiting students/scholars.

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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