SUPERVISOR: Dr. Lisa Kerr
The Gulf of Maine Research Institute (GMRI) pioneers collaborative solutions to global ocean challenges. Our scientists explore dynamic ocean systems from marine life to environmental conditions to coastal economies. We infuse our discoveries into the policy arena and design solutions with fishermen and seafood business to protect fishery resources, harvest them responsibly, and market them as premium quality food. We share our discoveries with the public and nurture a culture of leadership in communities that depend on the sea. Our education programs cultivate science literacy and build a foundation of collaborative problem-solving among our next generation of leaders, scientists, citizens, and stewards. Each year, we serve over 25,000 stakeholders from Cape Cod to Nova Scotia.
GMRI is seeking applicants for a 1-year position, with the potential to extend, to investigate the spatio-temporal distribution of Atlantic bluefin catches in U.S. and Canadian waters and to understand the effects of changing ocean conditions on habitat and catch rates of bluefin tuna. The postdoc will work under the supervision of Dr. Lisa Kerr and collaborate with a team of scientists at the Gulf of Maine Research Institute, University of Massachusetts Dartmouth School for Marine Science and Technology, University of Maine, NOAA Southeast Fisheries Science Center, and Fisheries and Oceans Canada.
- Test relationships between Atlantic bluefin tuna catch rates and environmental variables.
- Develop predictive species distribution models for Atlantic bluefin tuna with the goal of evaluating the spatial and temporal scale at which environmental drivers influence catch rates.
- Evaluate methods to integrate environmental indicators and/or environmentally-adjusted catch rate indices into stock assessment models.
- A completed (or nearly-completed) PhD degree in a relevant discipline, such as Fisheries Science, Statistics, Ecology, or other related field that demonstrates a strong quantitative background.
- Experience in habitat suitability/species distribution modeling.
- Knowledge of stock assessment and fisheries management.
- Demonstrated experience and fluency in statistical/modeling programming languages (e.g. R, AD Model Builder, Template Model Builder).
- Strong written and oral communication skills, as evidenced through publications in the peer-reviewed scientific literature and presentations to a variety of audiences
To apply for this position CLICK HERE to submit cover letter and CV. Note that you will be navigating away from the GMRI website. Applications will be reviewed after the closing date. Questions should be referred to email@example.com. However, we will not accept resumes sent to this address. Incomplete or late applications will not be considered.
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