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[Job] Postdoctoral position: Fish distribution forecasting


Chris Harrod <[log in to unmask]>


Scientific forum on fish and fisheries <[log in to unmask]>


Thu, 2 Oct 2014 06:43:46 +0000





text/plain (78 lines)

More from N America.

Gulf of Maine Research Institute

Postdoctoral Research Associate


The Gulf of Maine Research Institute (GMRI) has emerged as a catalyst for
solutions to complex challenges at the nexus of Maine’s marine ecosystem
and our economy. GMRI is widely respected as one of the top marine research
institutions in the Northeast. Our fusion of science, education, and
community gives us range to effect change from multiple directions. Our
objectivity and commitment to collaboration make us the go-to organization
for communities grappling with contentious political issues and new
business systems. We are making a long-term investment in science literacy
as the cornerstone of a 21st century economy by providing programs to
ignite the curiosity, ambition, innovation, and problem-solving potential
of Maine’s next generation.

GMRI is seeking applicants for a 2.5 year postdoctoral position modeling
the spatial-temporal distribution of marine species.

The candidate will be a part of a team of ecologists, ecosystem modelers,
and data scientists focused on ecological forecasting with the goal of
providing near-real time information to fisheries stakeholders to support
decision-making in the context of climate change. The candidate will
develop models that capture spatial-temporal changes in animal
distributions based on observations of marine species collected outside of
standardized scientific surveys and satellite-based observations of the
environment obtained from NASA’s Earth Observing System data collection.


Candidates must have a Ph.D. in ecology, fisheries science, oceanography,
or other related field. The position requires strong mathematical,
statistical, and computational skills and ideally, some experience working
with satellite or other large geophysical data sets and the MaxEnt modeling
framework. A candidate with experience working in the R programming
environment is strongly desired.

*To Apply:*

Applicants should submit a letter of interest, CV, and names of three
references. In the letter, please characterize your research interests and
how this position aligns with them. Please visit
for application instructions. Questions should be referred to
*[log in to unmask]* <[log in to unmask]>. We will not, however, be accepting resumes
sent to this email address. Incomplete applications will not be considered,
and the position will remain open until filled. Review of applications
will begin October 15, 2014.

We are proud to be an Affirmative Action, Equal Opportunity Employer. Our
employment decisions are made without regard to race, color, religion,
gender, national origin, age, disability, marital status, veteran or
military status or any other legally protected status. In order to comply
with local, state and federal Affirmative Action and Equal Employment
regulations we need to identify certain applicant data which will only be
used for reporting to government agencies. You are not required by law to
provide this data. The data you provide on this form will be kept
confidential, used solely for statistical purposes and maintained
separately from your employment application. This data will not be used to
make a decision about your employment.

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