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. ********************* 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