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University of Florida
Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species EcologyUniversity of Florida • Gainesville, FL, US
Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology

Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology

University of Florida • Gainesville, FL, US
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Job Description:

The Geospatial Artificial Intelligence (GeoAI) Lab at the University of Florida, led by Dr. Di Yang, is seeking a highly motivated Postdoctoral Research Associate to join a new, multi-institutional research project focused on the invasive grass Ventenata dubia (VEDU). This project is a collaboration with leading experts at the University of Montana (Spatial Analysis Lab) and Boise State University.

The successful candidate will lead the development and implementation of cutting-edge remote sensing and machine learning techniques to address critical questions about invasive species surveillance and invasion dynamics. Key research themes include: 1) characterizing invasion resistance, 2) assessing the role of phenotypic plasticity in its competitive success, and 3) developing robust methods for spectral phenotyping using ground, drone, and satellite-based sensors. This position offers a unique opportunity to work at the intersection of remote sensing, spectranomics, genetic analysis, GeoAI, and invasion ecology within a dynamic, collaborative team.

Responsibilities:

  • Design and lead remote sensing data acquisition campaigns using multi-scale platforms, including ground-based spectrometers, UAVs (optical, Lidar), and satellite imagery (e.g., Planet, Sentinel, Landsat).
  • Develop and apply advanced machine learning and deep learning models (GeoAI) for fusing, analyzing, and interpreting multi-sensor data to track invasion species patterns
  • Create novel analytical workflows to build calibration equations for discriminating VEDU from other co-occurring grass species.
  • Integrate remote sensing-derived products with in-situ ecological data (e.g., canopy cover, height, alpha diversity, chemistry, soil texture, disturbance intensity) to model invasion dynamics and resilience across landscapes.
  • Collaborate closely with project partners to synthesize findings and build follow-on funding opportunities.
  • Lead the preparation of high-impact, peer-reviewed publications.
  • Present research findings at national and international scientific conferences.
  • Mentor graduate and undergraduate student in the .
UF is the state’s oldest, largest, and most comprehensive land grant university with an enrollment of over , students and was ranked 7th in the country among public universities (US News and World Report 5 rankings), and 1st among public institutions in the Wall Street Journal 3 survey. UF is located in Gainesville, a city of approximately , residents in North-Central Florida, miles from the Gulf of Mexico, and miles from the Atlantic Ocean, and within a 2-hour drive to large metropolitan areas (Orlando, Tampa, Jacksonville). The beautiful climate and extensive nearby parks and recreational areas afford year-round outdoor activities, including hiking, biking, and nature photography. UF’s large college sports programs, museums, and performing arts center support a range of activities and cultural events for residents to enjoy. Alachua County schools are highly rated and offer a variety of programs including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at . Expected Salary:

The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit, benefits.hr.ufl.ed.

Required Qualifications:
  • A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science, Ecology, or a closely related field.
  • Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus).
  • Strong proficiency in programming, particularly in Python and GEE for geospatial analysis and data science.
  • Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data.
  • A track record of first-author publications in peer-reviewed journals.
  • Excellent communication, collaboration, and writing skills.
Preferred:
  • Experience in plant ecology, invasion science, or agronomy.
  • Specific expertise in reflectance spectroscopy and chemometrics for vegetation analysis or high-throughput phenotyping.
  • A strong background in GeoAI, computer vision, and data fusion techniques.
  • Experience designing UAV-based remote sensing campaigns.
  • Experience leading ground-based vegetation surveys.
  • Demonstrated ability to work effectively in a collaborative, interdisciplinary research team.
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Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology • Gainesville, FL, US

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