SUPERVISOR: Dr. Kathy Mills
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.
The Gulf of Maine Research Institute is seeking applicants for a full-time Postdoctoral Research Associate position modeling relationships between Atlantic salmon and Northwest Atlantic ecosystem change. This is a twelve to seventeen-month position that will be based at the Gulf of Maine Research Institute in Portland, Maine beginning in January 2019. The position may be extended contingent upon satisfactory performance and project funding.
The postdoctoral research associate will be mentored by Dr. Kathy Mills and based in the Ecosystem-Human Interactions Lab, which conducts a wide range of research to understand how climate and ecosystem change affect fish populations, communities, and fisheries; evaluate adaptation strategies to support resilient fisheries and marine ecosystems; and provide information to support decision-making in the context of environmental variability and change. This position will also routinely collaborate with colleagues at NOAA’s Northeast Fisheries Science Center.
The successful candidate will undertake analyses and modeling to investigate how changing ecosystem conditions are affecting Atlantic salmon marine survival and the potential role of growth as a mechanism mediating these relationships. In addition, he/she will play a major role in developing models to evaluate how ecosystem changes are affecting energy available to and needed by Atlantic salmon in the marine environment, and the impacts of these changes on salmon growth, survival, and productivity.
- Manage diverse salmon data sets
- Conduct statistical analyses of relationships between ecosystem conditions, salmon growth, and marine survival
- Develop and evaluate population, ecosystem, or bioenergetics models to understand how salmon are being affected by changing energy flow and trophic conditions
- Manage code for manipulating and processing data in accessible and documented manners
- Perform relevant literature reviews
- Contribute to writing of project reports and peer-reviewed manuscripts
- Participate in regional and international meetings and conferences relevant to postdoctoral research
- A completed (or nearly-completed) PhD degree in fisheries science, marine ecology, oceanography or a related field
- Strong mathematical, statistical, and computational skills
- Previous experience with ecological models, such as population dynamics, bioenergetics, or individual-based models
- Proficient in the R and/or MATLAB programming languages
- Demonstrated ability to work independently and collaborate with a project team
- Strong written and oral communication skills, as evidenced through publications in the peer-reviewed scientific literature and presentations to a variety of audiences
Other Preferred Qualifications
- Experience working with large, diverse data sets, such as satellite or geophysical data
To apply for this position CLICK HERE to submit cover letter, resume, and a list of three references. Note that you will be navigating away from the GMRI website. Application deadline is November 1, but may be extended until filled. Applications will be reviewed upon receipt. Questions should be referred to firstname.lastname@example.org. However, we will not accept resumes sent to this address. Incomplete or late applications will not be considered.
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