University of Houston
2 weeks ago
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 availableDeadline
Aug 21, 2026
Country
United States
University
University of Houston

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
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
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.