🔹 Summary
The Department of Integrative Biology at the University of Texas at Austin invites applications for a Postdoctoral Researcher position in AI and Remote Sensing. The role focuses on applying advanced data science and machine learning techniques to multi-source remote sensing data for ecological and agricultural research. The position will begin in Spring or Fall 2026 and offers strong interdisciplinary collaboration and access to cutting-edge research infrastructure.
Postdoctoral Position in AI & Remote Sensing for Ecology and Agriculture – University of Texas at Austin (2026)
📊 Summary Table
| Category | Details |
|---|---|
| Position | Postdoctoral Researcher |
| Research Area | AI, Remote Sensing, Ecology & Agriculture |
| Institution | University of Texas at Austin |
| Department | Integrative Biology |
| Location | Austin, Texas, USA |
| Start Date | Spring/Fall 2026 |
| Application Mode | |
| Last Date | Open until filled |
🎓 Designation
Postdoctoral Researcher (AI & Remote Sensing for Ecology and Agriculture)
🔬 Research Area
- Artificial Intelligence & Machine Learning
- Remote Sensing & Geospatial Analysis
- Ecology & Environmental Science
- Agricultural Systems & Sustainability
- Data Science & Spatial Modeling
📍 Location
Department of Integrative Biology
University of Texas at Austin
Austin, Texas, USA
✅ Eligibility / Qualification
Applicants must have:
- A PhD degree in one of the following or related fields:
- Remote Sensing
- Geography
- Environmental Science
- Computer Science / Data Science
- Plant Biology / Ecology / Agriculture
Preferred Skills:
- Experience in remote sensing and geospatial data analysis
- Knowledge of hyperspectral, multispectral, thermal, and LiDAR data
- Expertise in machine learning or image analysis techniques
- Proficiency in R and Python programming
- Background in plant physiology or biochemistry (desirable)
🧪 Job Description
The selected candidate will:
- Develop and apply AI and data science methods for analyzing multi-source remote sensing datasets
- Work with diverse data sources including hyperspectral, multispectral, thermal, and LiDAR
- Investigate ecological and agricultural systems under changing environmental conditions
- Study interactions between natural ecosystems and agricultural landscapes
- Conduct independent and collaborative research projects with Dr. Phuong Dao
- Collaborate with interdisciplinary teams across academia and partner organizations (e.g., NASA, USDA)
📩 How to Apply
Applicants must submit the following documents in a single PDF file:
- Cover Letter
- Curriculum Vitae (CV)
- Academic Transcripts
- One representative publication
File Naming Format:YourSurname_Postdoc_Application.pdf
Email Application To:
Dr. Phuong Dao
Email Subject Line:YourSurname_Postdoc_Application
Additional Requirement:
Selected candidates will be required to apply to the Stengl-Wyer Scholars Program (College of Natural Sciences).
⏳ Last Date to Apply
- Applications will be reviewed immediately
- Position open until filled
🏫 About the Lab & Institution
Dr. Phuong Dao will join the University of Texas at Austin as an Assistant Professor in January 2026. The Dao Lab focuses on understanding plant and ecosystem responses to environmental stressors such as drought, pests, and invasive species using:
- Remote sensing
- Machine learning
- Spatial science
- Biochemical and ecological modeling
The lab is equipped with advanced drone and sensing systems, including hyperspectral, LiDAR, multispectral, and thermal imaging platforms.
The University of Texas at Austin is a globally recognized research institution, known for excellence in AI, geospatial science, ecology, and data science. Located in Austin—often called “Silicon Hills”—the university provides a vibrant ecosystem for innovation, collaboration, and high-impact research.
