University of Texas at Austin
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Fully Funded PhD in Biologically Grounded AI, Remote Sensing and Environmental Intelligence University of Texas at Austin in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD position is described as fully funded; no stipend amount or detailed tuition and benefits information is provided.
Deadline
Nov 20, 2026
Country
United States
University
University of Texas at Austin
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About this position
Fully funded PhD position in biologically grounded AI, remote sensing and environmental intelligence at the University of Texas at Austin, in the Dao ReSEIL Lab within the Department of Integrative Biology.
The doctoral thesis will develop biologically grounded artificial intelligence and foundation models that integrate multimodal spectral data to reveal plant responses to environmental stress across scales. The project combines computer science, biology, remote sensing, data science and environmental science, with potential applications in ecological monitoring and plant stress analysis.
Applicants should have a BSc in computer science, data science, remote sensing, biology or a related discipline. Strong programming skills in R, Python or MATLAB are required. The position is described as fully funded, although the post does not specify the stipend, tuition coverage or benefits.
The stated application deadline is 20 November 2026. Prospective applicants should consult the official University of Texas at Austin and Dao ReSEIL Lab channels for the application procedure and complete eligibility details.
Funding details
The PhD position is described as fully funded; no stipend amount or detailed tuition and benefits information is provided.
What's required
Applicants should hold a BSc in computer science, data science, remote sensing, biology, or a related field, and have strong programming skills in R, Python, or MATLAB.
How to apply
Apply for the PhD position through the University of Texas at Austin or Dao ReSEIL Lab application process. Review the formal position and program instructions before submitting materials.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.