About this position
Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology
- Job No: 537559
- Work Type: Full Time
- Location: Main Campus (Gainesville, FL)
- Categories: Computer Science, Grant or Research Administration, Artificial Intelligence, Physical/Mathematical Sciences
- Department: 16220000 - LS-GEOGRAPHY
Job Description
Classification Title:
Postdoctoral Associate
Classification Minimum Requirements:
- 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.
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 GeoDI (Geospatial Digital Informatics) Lab .
UF is the state's oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 7 th in the country among public universities (US News and World Report 2025 rankings), and 1 st among public institutions in the Wall Street Journal 2023 survey. UF is located in Gainesville, a city of approximately 150,000 residents in North-Central Florida, 50 miles from the Gulf of Mexico, and 67 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 Visit Gainesville .
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.
Special Instructions to Applicants:
For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting.
A complete application includes (1) a letter (max 2 pages) of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a complete curriculum vitae , (3) a statement on research goals, and (4) a list of three references. After initial review, letters of recommendation will be requested from the references for selected applicants.
Applications will be reviewed on a rolling basis starting immediately and will continue until the position is filled. The intended start date is flexible, ideally for the Spring 2026 semester. This is a full-time, 12-month appointment with the potential based on performance and funding availability.
Review of applications will be conducted on a rolling basis, with the first review beginning on November 15th.
All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ .
Health Assessment Required:
No
Applications Close:
To apply, visit https://explore.jobs.ufl.edu/en-us/job/537559
Our Commitment:
The University of Florida is an Equal Employment Opportunity Employer.
Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF.
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