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Fa Li

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6 days ago

Fully Funded PhD in Land Intelligence, Remote Sensing, AI, and Wildfire Dynamics University of Texas at Austin in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opportunity.

Deadline

Nov 15, 2026

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Country

United States

University

University of Texas at Austin

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Keywords

Computer Science
Environmental Science
Biology
Remote Sensing
Artificial Intelligence
Earth Science
Ecosystem Dynamics

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About this position

Fully funded PhD opportunity at University of Texas at Austin for Fall 2027 in the Land Intelligence Lab led by Assistant Professor Fa Li.

The position focuses on wildfire, land ecosystem dynamics, carbon–water coupling, remote sensing, and AI / AI for Science. This is a strong fit for students interested in environmental data science, biosphere risks, and computational approaches to Earth and ecosystem problems.

The post states that the PhD is fully funded. Applicants are asked to submit a single PDF containing a cover letter, CV, transcripts, and contact information for three references.

Deadline: Full consideration by November 15, 2026.

How to apply: Email the application PDF to [email protected] with subject line PhD Application – Land Intelligence Lab.

Funding details

Fully funded PhD opportunity.

What's required

Applicants should prepare a cover letter, CV, transcripts, and contact information for three references. The post is for a PhD student and is described as fully funded; no additional degree, test, or GPA requirements are stated.

How to apply

Email one PDF containing your cover letter, CV, transcripts, and contact information for three references to [email protected]. Use the subject line: PhD Application – Land Intelligence Lab.

More information can be found here

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