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Jobs ~ PLEASE NOTE:

The MATE website is no longer actively posting new job announcements. New job announcements can now be viewed and posted on the MTS Career Center Website <https://mtsociety.careerwebsite.com/>. You can click on the Post a Job button directly from the Marine Technology Society Career Center page to submit a new posting. Thank you!

Alaska Groundfish Stock Assessment Analyst (19-1117)

Back to all Jobs
15-Aug-19 04:53 PM
URL: https://www.psmfc.org/psmfc-info/careers_2018
Company / Organization: Pacific States Marine Fisheries Commission
Type: Full-time
City: Seattle
State or Country if outside US: WASHINGTON
Application Deadline: 22-Aug-19
Description:

Title: Alaska Groundfish Stock Assessment Analyst (19-1117) Location: Seattle, WA (98115) Anticipated Start Date: September 9, 2019 Position Type: Temporary (6 months or less), Salary/Exempt Benefits Eligible: No | www.psmfc.org/benefits Salary Target: $2,766.08-$3,083.33/semi-monthly Job Number: 19-1117 How to Apply: Online at www.psmfc.org/careers Closing Date: August 22, 2019 at Midnight PST Group Definition: Fishery Biologists use professional knowledge and competence in the science of fishery biology to perform work: (a) developing, conserving, propagating, managing, and administering fishery resources; (b) evaluating the impact of construction projects and other socioeconomic activities that present potential or actual adverse effects on fishery resources and their habitat; and (c) producing and managing aquatic resources in their natural habitat and/or within facilities and systems that have been constructed for their benefit and public use. Position/Project Specifics: The Alaska Groundfish Stock Assessment Analyst position serves as a stock assessment specialist who provides scientific guidance regarding the monitoring, assessment, and management of Alaska groundfish. The project requires the preparation of assessments of the status and trends of Alaska groundfish stocks, and assisting with research directed towards improving the ability to model the population dynamics of species and the influence of ecosystem factors on their productivity. As part of a research team, the stock assessment analyst will be required to compile data for stock assessments, to conduct statistical modeling, and make short- and long-term projections of Alaska groundfish populations. The analyst will also conduct and/or assist with assigned Alaska groundfish stock assessments and provide supporting analyses. The position requires skill and experience with mathematical and statistical models for Alaska groundfish stock assessments (e.g.,maximum likelihood estimation, Markov Chain Monte Carlo techniques, automatic differentiation, Bayesian statistics, multivariate statistics), and the incorporation of environmental covariates in stock assessments and forecasts. In addition to conducting stock assessments and supporting analyses, the analyst will be required to provide written results detailing the data, methods, and outcomes of the assessments. The analyst will be required to provide written reports in a required format, and assist with presentations of results in response to requests from the North Pacific Fishery Management Council's Gulf of Alaska and Bering Sea Aleutian Islands Groundfish Plan Teams. Hours will vary weekly according to deadlines and support needs of the Alaska Fisheries Science Center's stock assessment program. It is anticipated that approximately full time hours will be required in the month of October.


Requirements:

Minimum Qualification Requirements: Education level requirement is a minimum of a Master of Science degree in fisheries science or mathematical/statistics, with a specialty focus on fishery population dynamics and stock assessment techniques. A minimum of 5 years of stock assessment experience conducting or assisting with Alaska groundfish stock assessments or West Coast groundfish stock assessments is required. Preference is for Alaska groundfish stock assessment experience and expertise.


Point of Contact: Suzann Northup
Attachment: download

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phone: (831) 645-1393

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This material is based upon work supported by the National Science Foundation under Grant Numbers DRL/ITEST 1312333 and DUE/ATE 1104310.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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