The Department of Earth and Environmental Sciences at Syracuse University seeks applicants for a Postdoctoral Researcher position in machine learning applications in hydrology and water quality. The first project will involve data-driven modeling and machine learning analysis to: 1) assess the driving factors of hydrological variability in snowmelt partitioning and streamflow responses at watershed scales in the Northeastern U.S, and 2) to characterize the natural and anthropogenic processes that govern coupled water and carbon (e.g., greenhouse gas emission) cycles at various spatiotemporal scales in the Northeastern U.S. This is a fully funded, full-time, 1-year position (renewable for an additional year pending satisfactory progress). The successful applicant will work closely with team members from Syracuse University, USGS, and DOE.

The candidate will be expected to collaborate with faculty members in ongoing research projects with the possibility to conduct independent research. The successful candidate will also have the option to participate in teaching, including lectures and laboratory teaching of both undergraduate and graduate students.

Applications will be evaluated as soon as they are received, and the position will remain open until filled.