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Fangfang Yao

1 year ago

Water resources research University of South Florida (USF) in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Selected candidates will receive at least four years of funding through a combination of teaching and research assistantships. The funding covers stipend and tuition for the duration of the PhD program.

Deadline

Expired

Country flag

Country

United States

University

University of South Florida

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Lidar Technology
Earth Science
Water Resource Management
Big Data
High Performance Computing
Insar
Geospatial Information
ML

About this position

The Hydrological Remote Sensing Lab (HydroRS) at the University of South Florida is recruiting a PhD student for interdisciplinary research in water resources using advanced geospatial technologies. The lab leverages satellite observations, remote sensing, and AI/ML to address global water crises and study the water cycle at regional and global scales. Recent research from the lab has been featured in Science Magazine.

The position is ideal for candidates with a strong background in remote sensing or hydrology, geospatial data processing skills (Python or R), and an interest in hydrological studies. Preferred qualifications include publication experience, familiarity with InSAR/LiDAR sensors or AI/ML, and big data analytics experience. The successful candidate will receive at least four years of funding through teaching and research assistantships, covering stipend and tuition.

The University of South Florida is a top 50 public university and AAU member, located in Tampa, Florida, offering a vibrant campus life and access to local attractions. The application deadline is January 7, 2026, with late inquiries considered for strong candidates. To apply, send a CV, references, and a research introduction to Dr. Fangfang Yao at [email protected].

Funding details

Selected candidates will receive at least four years of funding through a combination of teaching and research assistantships. The 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. Preference is given to candidates with publication experience in peer-reviewed journals, familiarity with advanced InSAR/LiDAR sensors or AI/ML, and experience in big data analytics (HPC or Google Earth Engine). An advanced degree (Master's or JD) is required. English language proficiency is necessary.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Hydrology

Reservoir Engineering

Remote Sensing

Lidar Technology

Environmental Science