NOAA Climate Change and Ecosystem Fluctuations
This NOAA grant studies how ocean changes impact fish populations, aiming to create environmental indicators for fisheries management using data analysis.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: Base stipend approximately $70,000 with experience-based supplements; includes $2,000 travel allowance; typical tenure 2-3 years.
Summary: Supports postdoctoral and senior researchers to study oceanic environmental variability and its impact on fisheries using statistical and algorithmic methods at NOAA's Southwest Fisheries Science Center.
Key Information: Open to U.S. citizens, permanent residents, and non-U.S. citizens; relocation and health insurance benefits provided; requires contacting Research Adviser prior to application.
Description
This fellowship opportunity, offered through the NRC Research Associateship Programs at NOAA's Southwest Fisheries Science Center in Monterey, CA, focuses on understanding how environmental variability in the ocean affects commercially important fish populations. The research aims to analyze interannual to decadal ocean changes, identify physical mechanisms driving these changes, and develop environmental indices applicable to fisheries recruitment and population dynamics.
The project involves using both traditional and innovative statistical methods to analyze historical environmental datasets. Additionally, the research seeks to create straightforward algorithms for near-real-time estimation of key physical oceanic fields such as transport and mixed layer depth from readily available variables. The Associate will collaborate with a team of scientists studying the effects of climate change on marine populations in the North Pacific Ocean's productive ecosystems.
Key research areas include fish and fisheries science, biomathematics, climatology, data analysis, and algorithm development.
