As coastal sea-levels rise, flooding will increasingly impact coastal communities. The NSF funded EPSCOR project, the Community-Driven Coastal Climate Research & Solutions for the Resilience of New England Coastal Populations, seeks to help communities manage the increasing environmental risks caused by a changing climate.

As part of this project, the Ocean Process Analysis Laboratory and the Institute for Earth, Ocean and Space at the University of New Hampshire is seeking a postdoctoral fellow to research the linkages between shelf-scale sea-level, surface wave and wind fields and coastal flooding on a human scale. The goal is to downscale the prediction of shelf-scale and climate-scale coastal models to the human scale of harbors and neighborhoods.

The term of this project is 2.5 years (1 year term with possibility of renewal). The focus of this project will be the high-resolution numerical modeling that links shelf scale forcing to human scale sea-level predictions, the validation of that modeling, and the use of machine-learning tools to predict sea-level and other environmental stressors from larger scale models. Experience in physical oceanography and numerical modeling are required. Experience with unstructured mesh numerical models and machine learning would be helpful. Expected duties include submission of results for publication in refereed journals, documenting modeling code and products, and collaborating with other researchers in this project at Brown University, the University of Rhode Island, the Gulf of Maine Research Institute and elsewhere to further the goals of this project.

Questions can be sent to Jamie Pringle at Details and instructions for applying can be found at:

Applications will begin being considered on October 13, the position will remain open until filled.

Associated postdocs at Brown for a similar EPSCOR project on large eddy simulation modeling around marine wind turbines can be found at Inquiries for this position can be sent to Baylor Fox-Kemper at