Post-doctoral position Multivariate autoregressive modeling of large-scale population and community processes Northwest Fisheries Science Center, Seattle, WA
The Northwest Fisheries Science Center (NOAA/NMFS) has a large research group working on multivariate autoregressive modeling of ecological dynamics. Some of our current work focuses on statistical inference concerning the underlying population and community dynamics of ecological systems. We are particularly interested in research on statistical inference concerning species-interactions, environmental drivers, and community stability using time-series data and multivariate autoregressive modeling. We are seeking a post-doctoral scientist to join our research group starting between October and December 2009. The project involves research on species interactions and marine climate change using long-term marine plankton datasets. A background in population and/or community modeling and graduate training (or thesis) in statistical modeling is necessary for this position. Prior programming experience (preferably with R) is also required. The ideal candidate would also have experience in one or more of the following areas: hierarchical modeling in a Bayesian or maximum-likelihood framework Bayesian and/or maximum-likelihood model selection hidden Markov models and/or state-space models time series analysis marine or fisheries ecology, especially with plankton Post-doctoral positions are supported for 1 year with extensions to 2 and 3 years depending on progress and funding. Why come post-doc at the NWFSC? You will join a supportive, collaborative and productive team of quantitative ecologists at NWFSC who are using multivatiate autoregressive modeling to study ecological dynamics. Our team includes three lead scientists and five post-doctoral scientists. University of Washington is a 10min walk away and there is active collaboration with UW departments. Interested? contact Eli Holmes at [email protected], Northwest Fisheries Science Center, Mathematical Biology and Systems Monitoring Program to discuss the project in more detail. Please attach a CV. Eli Holmes http://faculty.washington.edu/eeholmes/
