Postdoctoral Scholar Project Model

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- Doctoral Degree


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Position Overview

Organization: Aquatic and Fishery Sciences

Title: Postdoctoral Scholar - Project Model

Position Details

Position Description

The School of Aquatic and Fishery Sciences is looking for a Postdoctoral Scholar that will work on generalized age-structured projection model to evaluate management implications of climate impacts on recruitment and life history of marine fish populations. This a full-time, 12-month position located at the University of Washington in Seattle.

New modeling tools are needed to understand the possible impacts of climate variation on fish productivity, population dynamics, and fisheries in the North Pacific. The selected post-doctoral candidate will work closely with researchers at University of Washington (Andre Punt) and the Alaska Fisheries Science Center (Martin Dorn, Paul Spencer, Carey McGilliard, Cody Szuwalski, Kirstin Holsman) to develop a flexible projection modeling tool that enables evaluation of environmental forcing on stock population dynamics under future climate change. The projection model will ress the research goal of developing climate-forced single species models (CC-SSM) in the EBS RAP and GOA RAP, and the call for environmentally-linked stock assessments in the Next Generation Stock Assessment Improvement Plan and the Ecosystem Based Fisheries Management roadmap.

Responsibilities include the following:

Incorporate current assessment error and uncertainty;

Account for future assessment error and uncertainty;

Allow for alternative hypotheses for the stock-recruit relationship;

Measurement error and process error of environmental forcing will be modeled;

A set of harvest control rules will be implemented;

Growth, maturity, natural mortality, recruitment deviations, and stock productivity will be functions of optionally-specified relationships with environmental covariates; and

A bioenergetic module will be developed to model the effect of temperature on consumption and growth.

Application of the model will follow the framework described by Hollowed et al. (2009) [ICES J. Mar. Sci. 66:1584 - 1594] for a unified approach to forecasting the implications of climate change on production of marine fish. Environmental relationships will be derived from retrospective studies and process studies. Regional Ocean Modelling System (ROMS) model projections from a Gulf of Alaska ROMS modeling project will be used to project future environment conditions. Deliverables include coding package (such as an R package) that simulates a generalized age-structured population with environmental forcing on life history characteristics and recruitment, and a manuscript describing the approach and analyses of the projected impact of climate change on select North Pacific species.

The College of the Environment fosters existing and new collaborations between outstanding faculty, staff and students who are engaged in the study of: the solar system and Earths dynamic land, water and atmosphere; the development and application of environmental engineering and technological advances; and the impact of policy and human actions on the environment, and the management of natural resources.

The School of Aquatic and Fishery Sciences (SAFS) is dedicated to sustaining healthy marine and freshwater environments. Our school comprises one of the largest and most diverse academic aquatic and fisheries sciences program in the United States. Our faculty conduct innovative research from the organism to the ecosystem scale, and are recognized leaders in aquatic biology, sustainable fisheries management, and aquatic resource conservation.

The School of Aquatic and Fishery Sciences values the strengths and professional experience that students, faculty, and staff bring to our community. We are committed to providing excellent education to all of our students, regardless of their race, gender, class, nationality, physical ability, religion, age, or sexual orientation. We are proud of the different roles that our students, staff, and faculty play in the community of the School and in the College of the Environment. We recognize that science is richer and the SAFS community is more vibrant when a diverse group of people participate the SAFS community.

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


PhD or forgein equivalent in Quantitative Ecology, Applied Statistics or a related field.

Experience with population and life history modeling, R-programming, simulation modeling, statistical analyses.

Knowledge of population dynamics modeling used for fisheries stock assessments.

Ability to work in a collaborative setting.


To please submit your application through Interfolio with the following: (1) A letter of interest detailing your skills and experience. (2) A curriculum-vitae including publications. (3) Three letters of recommendation.

For questions about this position, including potential disability accommodations, please contact Katie Effert, at ************** or ************.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All

qualified applicants will receive consideration for employment without regard to race, color, creed,

religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,

gender identity or expression, age, disability, or protected veteran status.
  • 1
  • Negotiable
  • None
  • None
  • Re-113232
  • Permanent
  • 4

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