Dylan Blaskey
1 year ago
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Regional water quality modeling University of South Carolina in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The position is fully funded for the PhD student, starting Fall 2026. No specific stipend amount or tuition details are provided.
Deadline
Dec 28, 2026
Country
United States
University
University of South Carolina
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About this position
The Integrated Systems Hydrology Lab at the University of South Carolina is recruiting a fully funded PhD student to begin in Fall 2026. The research focuses on regional water quality modeling, with an emphasis on computational hydrology, mechanistic models, and machine learning approaches. The successful candidate will study water quality across South Carolina and beyond, using quantitative methods and tools such as Python and hydrologic modeling.
The lab offers a collaborative, multidisciplinary environment and opportunities to engage with the Institute for Clean Water, a partnership between USC and the South Carolina Department of Environmental Services. Applicants should be highly motivated, possess strong quantitative skills, and have experience or interest in Python, machine learning, and hydrologic modeling.
Funding is fully provided, but specific financial details are not listed. Interested candidates should email Dylan Blaskey with their CV and a brief description of their background and research interests. More information is available on the lab website.
Funding details
The position is fully funded for the PhD student, starting Fall 2026. No specific stipend amount or tuition details are provided.
What's required
Applicants should be highly motivated and interested in computational hydrology, with a focus on mechanistic and machine learning models for water quality. Strong quantitative skills are required, and experience or interest in Python, machine learning, and hydrologic modeling is especially welcome. No specific GPA, language test, or degree requirements are mentioned, but a background relevant to hydrology or environmental science is implied.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Assistant Professor at University of South Carolina
United States
Research Interests
Hydrology
Computer Science
Water Pollution
Machine Learning
Earth Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.