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Publisher
source

Fangfang Yao

1 year ago

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 flag

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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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Hydrology

Reservoir Engineering

Remote Sensing

Lidar Technology

Environmental Science