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.