Postdoctoral Scholar, School of Aquatic and Fisheries Science, University of Washington

Climate change is causing rapid change in ecosystem function in many marine systems, impacting food security and sustainability. Climate impacts result in changing abundance and productivity for key primary consumers: copepods and euphausiids. Regional Ocean Modelling System (ROMS) forecasts are available for these taxa in the eastern Bering Sea, but have not been extensively compared with thirty years of spring and fall field-sampling. This project will link ROMS and field sampling via statistical validation and developing a species distribution model for secondary producers in the eastern Bering Sea, and thereby enable climate impacts forecast for these species. This postdoctoral researcher will work with a multi-disciplinary research team that includes UW and NOAA scientists with expertise in zooplankton ecology, ROMS modelling, and statistical analysis of ecological data.

Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.

Responsibilities include:

Validate ROMS secondary producer predictions against field sampled data.

Develop a “hybrid” species distribution model for zooplankton that combines field data and ROMS predictions.

Identify modes of ecosystem variability across trophic levels and ecosystem variables Results would then be used in a national MAPP project involving all NMFS science centers, and involve time for independent and self-directed research.

Work collaboratively in a team setting and participate in group meetings.

Prepare results and lead writing efforts for peer-reviewed publications and presentations at scientific conferences.

Job Type: Post-doc
Application deadline:
Organization: School of Aquatic and Fishery Sciences, University of Washington
Qualifications: PhD or foreign equivalent in ecology, fisheries, statistics, and related fields; High level of proficiency with statistical analyses and R programming; Superior written and oral communication skills; Ability to work in a multidisciplinary and collaborative setting; C++ programming experience is desired.
How to apply: Online
Location: Seattle, WA
Web address: https://apply.interfolio.com/113258

Contact Information:
Tim Essington

essing@uw.edu