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Fangfang Yao
1 year ago
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PhD Student Positions in Hydrological Remote Sensing at University of South Florida (Fall 2026) University of South Florida in United States
Degree Level
PhD
Field of study
not provided
Funding
All selected candidates receive at least four years of support through a combination of teaching and research assistantships. Funding covers stipend and tuition for the duration of the PhD program.
Deadline
Expired
Country
United States
University
University of South Florida
About this position
The Hydrological Remote Sensing Lab (HydroRS) at the University of South Florida (USF) in Tampa is recruiting PhD students to join their dynamic team in Fall 2026. The lab focuses on interdisciplinary research in water resources, leveraging cutting-edge remote sensing, geospatial analytics, and AI/ML to study the global water cycle. Research topics include hydrological extremes, freshwater storage trends, human impacts on water, and changes in snowpacks and glaciers.
The lab utilizes data from optical, radar, and LiDAR satellites, and has been recognized for its impactful research, including a recent study featured on the cover of Science Magazine. Applicants should have a strong background in remote sensing or hydrology, experience with Python or R for geospatial data processing, and strong communication skills.
Preferred candidates will have publications in peer-reviewed journals, experience with InSAR/LiDAR or AI/ML, and familiarity with high-performance computing or Google Earth Engine. All selected PhD students receive at least four years of funding through teaching and research assistantships, covering stipend and tuition. The USF Tampa campus offers a vibrant academic environment and access to Florida's beaches and attractions.
To apply, candidates should send a CV, contact information for three references, and a brief statement of research interests to Dr. Fangfang Yao by December 1 for priority consideration, with the official deadline on January 7, 2026. Late applications may be considered if a strong fit is demonstrated.
For more information, visit the lab's website.
Funding details
All selected candidates receive at least four years of support through a combination of teaching and research assistantships. Funding covers stipend and tuition for the duration of the PhD program.
What's required
Applicants should have a strong background in remote sensing or hydrology, interest in regional to global hydrological studies, experience with geospatial data processing using Python or R, and strong communication and scientific writing skills. Preferred qualifications include publications in peer-reviewed journals, experience with InSAR/LiDAR (e.g., SWOT, ICESat-2) or AI/ML, and experience with high-performance computing or Google Earth Engine. English language proficiency is required. A master's degree or equivalent advanced degree is required.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Assistant Professor
United States
Research Interests
Hydrology
Reservoir Engineering
Remote Sensing
Lidar Technology
Environmental Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.