Fa Li

Fa Li

Incoming assistant professor University of Texas at Austin

PhD Oppotunities

Three fully-funded Ph.D. students (tuition and stipend) to start in the Fall of 2026

Students interested in the following topics with strong quantitative and programming skills, are encouraged to apply:

  • AI: Machine learning, causality inference, foundation models
  • Data science: Remote sensing, geospatial/environmental data science
  • Environmental/Earth system science: wildfire or hydroclimatic hazard/impact/risk modeling, terrestrial ecosystem modeling, vegetation dynamics, 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

How to apply: Please send one PDF (including cover letter, CV, three references’ contact information, transcripts) to Dr. Fa Li at fa.li@austin.utexas.edu (cc: fali2@stanford.edu), with the subject “PhD Application – Land Intelligence Lab”. For full consideration, applications should be received by November 10, 2025. Applications will be reviewed on a rolling basis until positions are filled. We sincerely appreciate all applications; only shortlisted candidates will be contacted for an interview.