The Gulf of Maine Research Institute (GMRI) pioneers collaborative solutions to global ocean challenges.  We steward the Gulf of Maine ecosystem and the hardworking communities that depend on it through a mix of science, education, and community programming.

The Gulf of Maine Research Institute is seeking applicants for a 2-year postdoctoral researcher position. The postdoc will work under the supervision of Dr. Lisa Kerr and collaborate with a team of scientists at GMRI, Rutgers University, and NOAA Northeast Fisheries Science Center (NOAA NEFSC). The research will focus on developing an integrated modeling framework to inform marine resource decision-making under projected climate change in the Northeast U.S. shelf ecosystem. The framework will be applied to evaluate candidate climate-informed assessment models for the research-track stock assessments for Atlantic cod and black sea bass.

The position has a competitive annual salary plus benefits. Start date is flexible; the successful candidate could begin as early as November 2020. The position will be located at GMRI (www.gmri.org) in Portland, Maine with the potential for remote work arrangements.

Responsibilities/Tasks:

• Model development for and application of management strategy evaluation
• Development of coupled climate-population dynamics operating models
• Performance testing of climate informed stock assessments.
• Managing code in Github platform
• Synthesis of results in project reports and manuscripts
• Presentation of results to stakeholder audiences

• A completed (or nearly-completed) PhD degree in a relevant discipline, such as Fisheries Science, Marine Fisheries Ecology, Applied mathematics, Statistics, or other related field that demonstrates a strong quantitative background. 
• Experience fitting population dynamics models to data for fisheries stock assessment and application of simulation testing frameworks like Management Strategy Evaluation.
• Knowledge of fisheries management, and understanding of the management process in the U.S.
• Demonstrated experience and fluency in statistical/modeling programming languages (e.g. R, AD Model Builder, Template Model Builder). 
• Experience working in high performance computing environment is preferred. 
• Strong written and oral communication skills, as evidenced through publications in the peer-reviewed scientific literature and presentations to a variety of audiences
• Demonstrated ability to work independently and as part of a team
• Eligible to work in the United States