Launch week offerEnds in00h00m00s

Publisher
source

Fangfang Yao

1 year ago

PhD in Hydrological Remote Sensing, Water Resources, and AI/ML at University of South Florida University of South Florida in United States

Degree Level

PhD

Field of study

not provided

Funding

Funding details are not explicitly stated, but the post implies that the PhD position is funded as it is a recruitment for a research lab. No information on stipend amount, tuition coverage, or financial specifics is provided.

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 is seeking PhD students to join its research team starting Fall 2026. The lab specializes in studying water resources using advanced remote sensing, artificial intelligence, machine learning, and geospatial technologies. Research topics include global lake water storage declines, flooding, reservoir sedimentation, hydrological sensitivity to climate change, and environmental impacts of dams and water level changes. The lab's work has been featured on the cover of Science Magazine and involves collaborations across multiple disciplines. The University of South Florida is a top 50 public university and a member of the AAU, located on the Tampa campus, which offers a vibrant academic and lifestyle environment. Applicants should have a strong background in environmental science, earth science, geography, computer science, or related fields, and demonstrate motivation for independent research. To apply, candidates must send a full CV, a list of three references, and a brief introduction of their research interests and qualifications to Dr. Fangfang Yao. The application deadline is January 7, 2026. Funding details are not specified, but the position is a formal PhD opening in a research lab. For more information, visit the USF faculty page or the provided application link.

Funding details

Funding details are not explicitly stated, but the post implies that the PhD position is funded as it is a recruitment for a research lab. No information on stipend amount, tuition coverage, or financial specifics is provided.

What's required

Applicants must hold a relevant undergraduate or master's degree in environmental science, earth science, geography, computer science, or related fields. Strong interest or experience in hydrology, remote sensing, AI/machine learning, and geospatial technologies is preferred. Applicants should submit a full CV, a list of three references (contact information only), and a brief introduction of their research interests and relevant qualifications. Motivation and ability to conduct independent research are important.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Hydrology

Reservoir Engineering

Remote Sensing

Lidar Technology

Environmental Science