Announcement: Post-doctoral fellowship at the Northwest Fisheries Science
Center, National Marine Fisheries Service, Seattle, WA
Title: Statistical identification of ecosystem and population indicators
Research efforts of the Mathematical Biology and Systems Monitoring
Program include studies on how to most effectively monitor populations
spread over large-scale spatially-varying environments. Basic research
within our program focuses on the application of modern statistical and
modeling approaches to the analysis of complex population and community
processes in order to provide science support for the management of species
under NMFS jurisdiction.
Large quantities of monitoring data are collected on habitat and stream
quality throughout the Pacific Northwest. One of the current research
interests within our group is the use of newer statistical advances for
multi-variate spatial processes to the problem of identification of good
population and ecosystem indicators and identification of change in such
indicators. We are interesting in supporting research projects on these
two-fold interests: a framework with which to make a statistical statement
about power of particular environmental variates given the data to date
and a framework for adaptive analysis of our confidence that indicators have
changed. The latter refers to the problem that management actions are taken
and monitoring data are collected, but detection of actual effects is
non-trivial.
The post-doctoral fellow will work in independently and in collaboration
with E. Holmes to develop statistical methods for detecting associations
between and clusters of environmental covariates and population attributes.
Applicants should prepare a 2-3 page proposal that will make a research
contribution to applied statistical methods for analysis of large-scale
spatio-temporal population processes, and that applies these methods to
analysis of the large-scale population and stream monitoring data available
for Pacific Northwest salmonids. In addition to publishing, the fellow will
be expected to make their code accessible. Modeling and statistical code
produced by the Mathematical Biology Program are made available to the
public via our website.
Necessary qualifications include Ph.D. in Ecology, Statistics, or
related field, training in ecological time series analysis, proven record of
scientific publication, and the ability to work independently. The
following qualifications are desirable: R and Matlab programming skill and
aquatic ecology coursework or experience.
To apply: first contact Eli Holmes at [EMAIL PROTECTED] Application will
involve CV, 2 references, a research proposal, and a phone interview.
About the fellowship: This is a 1-2 year fellowship. Fellow should plan
to start in 2006. Review of proposals will start March 1, 2006 and
continue until the position is filled. The position will be at the
Northwest Fisheries Science Center in the Mathematical Biology and Systems
Monitoring Program,
http://www.nwfsc.noaa.gov/research/divisions/cbd/mathbio/index.cfm.
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E. E. Holmes, Ph.D.
National Marine Fisheries Service
Northwest Fisheries Science Center
2725 Montlake Blvd East
Seattle, WA 98112
[EMAIL PROTECTED]
phn: 206-860-3369 / fax: 206-860-3467
www.nwfsc.noaa.gov/eli.holmes
faculty.washington.edu/eeholmes
