Assistant Professor of Physical Oceanography
Department of Earth, Marine and Environmental Sciences at UNC Chapel Hill
The Department of Earth, Marine, and Environmental Sciences (EMES) at UNC-CH advances understanding of the earth and ocean processes that govern our planet, shape diverse ecosystems, sustain life, and drive environmental change. We promote exploration and discovery of the natural world by engaging students in research-based learning at all levels. Our graduates are equipped with the strong science foundation, critical thinking skills, and interdisciplinary perspectives required to tackle current and future environmental and resource challenges. We encourage engaged service that translates knowledge for the public good.
Homepage: https://emes.unc.edu/
The Department of Earth, Marine, and Environmental Sciences at the University of North Carolina-Chapel Hill seeks a tenure-track faculty member at the assistant professor level who works broadly in the physics of ocean circulation and transport. Candidates who utilize observation, experimental, and/or modeling approaches to study physical oceanography / environmental fluid dynamics and solve problems at the interface between ocean circulation and the atmosphere/climate, marine ecosystems, and/or ocean biogeochemistry are encouraged to apply.
Individuals in this position are expected to develop and maintain a vital, externally funded research program and will contribute to a developing undergraduate major concentration in marine sciences and to existing graduate training. Applicants should have a doctoral degree in oceanography, environmental fluid mechanics, or a related field and post-degree experience. UNC’s Fluids Lab (https://amath.unc.edu/research/fluid-mechanics/fluids-lab/) provides unique opportunities for experimentalists, the Institute of Marine Sciences (https://emes.unc.edu/institute-of-marine-sciences/ ) provides access to North Carolina’s coastal environment and computational centers such as Research Computing (https://its.unc.edu/research-computing/) and RENCI (https://renci.org) provide high-end computing facilities to support modeling and intensive data analysis. Application review will begin starting November 1, 2024; for full consideration, applications must be submitted by November 15, 2024.