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University of Houston

Fully Funded PhD in AI/ML for Environmental and Earth System Science at University of Houston University of Houston in United States

Degree Level

PhD

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
Ecology
Environmental Science
Remote Sensing
Climatology
Earth Science
Extreme Events
Statistics
ML

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About this position

Fully funded PhD opportunity at the University of Houston in the EcoClimate AI Lab (Department of Earth & Atmospheric Sciences).

The project focuses on AI/ML for environmental and Earth system science, with research themes including ecosystems, climate, remote sensing, and extreme events. This is a strong fit for applicants interested in combining machine learning, environmental data analysis, and Earth science applications.

Funding: The position is described as fully funded.

Start date: Spring 2027.

Deadline: August 21, 2026.

How to apply: Send your CV and supporting documents to kyuan@central.uh.edu. The lab website is ecoai-yuanlab.github.io.

Applicants with interests in AI/ML, climate science, remote sensing, and environmental/Earth system science are encouraged to apply.

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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