<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><p class="MsoNormal" style="margin-bottom: 0.0001pt;">Position Title: Assistant / Associate Project Scientist at the University of California, Santa Cruz in collaboration with NOAA Southwest Fisheries Science Center Environmental Research Division</p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">Research Area: Ecologist or Oceanographer </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">Start Date: as early as July 1st, 2014</p><div style="margin-bottom: 0.0001pt;"> </div><div style="margin-bottom: 0.0001pt;">The University of California, Santa Cruz, in collaboration with Dr. Steven Bograd and Dr. Elliott Hazen and the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Services seeks a project scientist (at postdoctoral research level or higher) to help with ongoing projects analyzing a) top predator data, b) oceanographic datasets in support of fisheries management, and c) ecosystem data in support of Integrated Ecosystem Assessments. The position is at in collaboration with and housed at the NOAA/SWFSC laboratory in Pacific Grove, California. The incumbent will initiate projects and partnerships with federal and academic collaborators and should have the ability to: write code, perform advanced statistics and data analysis, and summarize scientific findings in the form of written manuscripts and oral presentations. Responsibilities include serving as primary and co-author on peer reviewed manuscripts, helping write project reports for funding agencies, and co-writing grant proposals to continue and develop new projects that are NOAA relevant.</div><p class="MsoNormal" style="margin-bottom: 0.0001pt;">Experience developing and ideally leading research analyses; experience with analytical software packages (R, MatLab, ArcGIS, Python) and statistical analysis of spatial and temporal data. Knowledge of multivariate statistics or Bayesian statistics would be preferred. Must have strong willingness for collaboration with other postdoctoral researchers, students, and NOAA scientists. </p><p class="MsoNormal" style="margin-bottom: 0.0001pt;">Applications are accepted via the UCSC Academic Recruit online system (<a href="https://recruit.ucsc.edu/apply/JPF00121">https://recruit.ucsc.edu/apply/JPF00121</a>), and must include a letter of application that addresses how you meet the basic and preferred qualifications, a curriculum vitae, one to three writing samples (of published material), and the names and contact information for at least three individuals who we could contact for letters of recommendation. Documents/materials must be submitted as PDF files.</p></body></html>