[ES_JOBS_NET] PhD opportunities at UT Austin: AI, Land-Atmosphere interactions, Wildfire/Hydroclimatic risk

[Fa Li]

Dear colleagues,
The Land Intelligence (LI) lab at The University of Texas at Austin<https://www.utexas.edu/> is seeking three fully-funded PhD students (tuition and stipend), starting in the Fall of 2026.
Our lab examines how terrestrial ecosystems interact with human activities and hydroclimatic hazards, with a particular focus on wildfires and land-atmosphere interactions of carbon, water, and energy. We aim to better monitor, predict, and reduce hydroclimatic risks to people and ecosystems by leveraging advances in Artificial Intelligence (e.g., machine learning), Earth observations (e.g., satellite remote sensing, field measurements), and Earth system models. Please see our website (https://fali-lab.github.io/) for more information.
Students interested in one of the following topics with strong quantitative and programming skills, are encouraged to apply:

  *   AI: Machine learning, causality inference, foundation models
  *   Data science: Remote sensing/GIS, geospatial/environmental data science
  *
Environmental/Earth system science: wildfire or hydroclimatic hazard/impact/risk modeling, terrestrial ecosystem modeling, carbon-water-energy cycles, human-environment interactions, land-atmosphere interactions
  *   We encourage research directions beyond those listed, but within the lab’s overall research umbrella.

Applicants must meet the UT Austin Graduate school’s admission requirements<https://gradschool.utexas.edu/admissions/begin> (https://gradschool.utexas.edu/admissions/begin). Successful candidates have opportunities to work with collaborators at Stanford University, Lawrence Berkeley National Lab, and other leading research institutions.
How to apply: Please send one PDF (including cover letter, CV, three references’ contact information, transcripts) to Dr. Fa Li at fa.li at austin.utexas.edu<mailto:fa.li at austin.utexas.edu> (cc fali2 at stanford.edu<mailto:fali2 at stanford.edu>), with the subject “PhD Application – Land Intelligence Lab”. For full consideration, applications should be submitted by November 10, 2025. Review of applications will continue on a rolling basis until the positions are filled. We sincerely appreciate all applications; only shortlisted candidates will be contacted for an interview.
For Postdoc opportunities, applicants are expected to apply for fellowships with Dr. Fa Li. Please see our lab’s website above for more information.
UT Austin, is a renowned “Public Ivy”, ranked among the top public universities worldwide, and offers world-class resources and a vibrant, collaborative community. Located in Austin — home to major offices and campuses of Google, Tesla, Apple, Dell, and many other tech leaders — students are expected to gain unique access and career opportunities in one of the fastest-growing innovation hubs in the U.S.
Best,
Fa
Department of Earth System Science
Stanford University
https://profiles.stanford.edu/fa-li
Y2E2, 473 Via Ortega, Stanford, CA 94305
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