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improve model performance. The developed model will be applied to coastal engineering problems, including wave transformation, nearshore circulation, and extreme coastal processes. Depending on the project
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About the Opportunity Job Summary Northeastern University’s Coastal Sustainability Institute (CSI) and The Nature Conservancy’s (TNC) Massachusetts and Global Science programs are partnering
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work with the PI (Prof. Iris Möller) in ensuring delivery of the PEACEPLUS ‘CMAP’ (Coastal Monitoring and Adaptation Planning) project as part of the Trinity Coastal Research Group based in Geography
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for predicting the joint probabilities of extreme events related to coastal processes such as waves, tides, storm surge, etc. The candidate should have strong expertise in statistical modelling as
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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contribute to an innovative research project focused on understanding and strengthening the cultural, social and economic outcomes of coastal wetland restoration for Traditional Custodian communities
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anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve
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estuaries. The new hire will work with a team of scientists at HBOI and University of Georgia to examine key physical and biogeochemical processes driving the phytoplankton blooms and the selection mechanisms
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Center's Coastal & Hydraulics Laboratory (CHL) performs research on ocean, estuarine, riverine, and watershed systems in support of the U.S. Army Corps of Engineers (USACE) and the Department of Defense (DOD
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms