Apply HereIntegrated Statistics is looking for a Postdoctoral Researcher (PR) to work with an interdisciplinary team of physical oceanographers and fisheries scientists from the Woods Hole Oceanographic Institution (WHOI), NOAA Northeast Fisheries Science Center (NEFSC), and Stony Brook University. The PR will work on a collaborative project funded by the NOAA Modeling, Analysis, Predictions, and Projections (MAPP) Program to develop and evaluate a seasonal-to-interannual statistical forecasting system for oceanographic conditions and living marine resources on the Northeast U.S. Shelf (NES).
The NES Large Marine Ecosystem supports some of the most commercially valuable fisheries in the world and has experienced dramatic ecosystem change in response to fishing pressure, climate variability and climate change, the combined effects of which create a huge challenge for fisheries stock assessment in this region. Incorporating physical environmental variables into stock assessment population models and subsequent forecasts could improve model performance and reduce uncertainty in future population size. This project aims to develop and test a new statistical seasonal-to-interannual prediction system for ocean temperatures on the NES, specifically tailored to the needs of NOAA Fisheries stock assessments. The primarily goals will be: (1) to use previously described statistical relationships linking shelf ocean temperature to various basin-scale and local variability, e.g. North Atlantic Oscillation, Gulf Stream path, and coastal sea-level, to develop a prediction system at the 3–36 month time scale; (2) to evaluate this system in the context of selected stock assessments executed by NOAA Fisheries; and (3) to clarify the dynamical basis for the statistical relationships using ocean hindcast models and coupled ocean-atmosphere models.
This position will be located primarily at WHOI with some
expectation for travel to scientific meetings and to meet with regional
partners. The rate of pay is $25-28/hr and is eligible for the
benefits described on the Integrated Statistics website. This position is full-time
for one year, with the potential for annual renewal up to three years, conditional on
the PR making satisfactory progress during the prior year(s) and continuation
Candidates may be asked to provide writing samples (e.g. copies of
relevant publications), and contact information for at least three professional
Integrated Statistics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, gender identity, sexual orientation, veteran status, or any classification protected by federal, state, or local law. Consistent with its obligations under federal law, Integrated Statistics is committed to taking affirmative action to employ and advance in employment qualified women, minorities, disabled individuals, special disabled veterans, veterans of the Vietnam era, and other eligible veterans. For assistance with accessibility of applications, posters, forms, and/or documents, please email the Integrated Statistics office.