Application for Postdoctoral Position: Using regional ocean models to improve U.S. Northeast marine fishery stock assessments
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) and Northeast Fisheries Science Center (NEFSC), seeks a postdoctoral or a more senior scientist to conduct research on improving U.S. commercial fishery stock assessments using regional ocean models. The goals of the research are to: 1) analyze regional ocean model hindcasts of the Northwest Atlantic Ocean in relation to historical stock assessment estimates and retrospective patterns for key commercial species in the U.S. Northeast Shelf; 2) use a state-space modeling approach to incorporate physical and biological variables from the regional model hindcasts into stock assessment models; 3) apply state-of-the-art regional ocean forecasts to stock estimates.
In addition to a strong quantitative and statistical background, the selected candidate should have one or more of the following attributes: (a) a strong background in fisheries science, marine ecology, or a closely related field, and (b) experience with ocean or climate models.
Candidates must have a Ph.D. in Fisheries Science, Oceanography, or a closely related field. The initial appointment is for one year with the possibility of a second-year renewal subject to satisfactory performance and available funding.
Complete applications, including a cover letter, CV, publication list, and 3 letters of recommendation should be submitted by August 1, 2020 for full consideration. Applicants should apply online to https://www.princeton.edu/acad-positions/position/16021. For additional information, contact Dr. Vincent Saba (mailto:firstname.lastname@example.org).
This position is subject to Princeton University's background check policy.
Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.