Post Doctoral Research Associate

University System of New Hampshire Portal • Durham, NH

9d

About The Position

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 and to assist in the development of machine learning models to link large scale forcing to human scale environmental stressors. 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 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. Additional Preferred Qualifications The postdoctoral researcher will be expected to be part of a multidisciplinary, multi-institution team working on predicting and adapting to present and future coastal environmental challenges. The postdoctoral fellow will lead a numerical modeling experiment to link the large-scale global and coastal ocean to harbor and infrastructure scale sea-level events. The candidate is expected to publish their work and to coordinate with others in communicating and sharing the results to a broad range of affected communities and organizations.

Requirements

• Experience in physical oceanography
• Experience in numerical modeling

Nice To Haves

• Experience with unstructured mesh numerical models
• Machine learning

Responsibilities

• submission of results for publication in refereed journals
• documenting modeling code and products
• 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
• lead a numerical modeling experiment to link the large-scale global and coastal ocean to harbor and infrastructure scale sea-level events
• publish their work
• coordinate with others in communicating and sharing the results to a broad range of affected communities and organizations

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees