[ECOLOG-L] Graduate research assistantship at Colorado State University
We have an opening for a graduate student seeking a Ph.D. in the Graduate Degree Program in Ecology at Colorado State University starting in January 2013. The successful applicant will: 1) develop sampling and analysis procedures for ground-based estimates of ungulate population size in conservation areas; 2) develop methods for estimating the effects of boundary harvest on survival of animals within conservation areas, and 3) model cross boundary movement of ungulates using telemetry data. The position is fully funded by the National Park Service. An annul stipend, full tuition waiver, and expenses for field work will be provided. Requirements include a master's degree in ecology, wildlife biology, statistics or related field. Strong quantitative skills are required. Training in maximum likelihood and / or Bayesian methods for parameter estimation and GIS skills are desirable. There will be an opportunity to do a preliminary interview at the Annual Meeting of the Wildlife Society in Portland Oregon (October 16-18, 2012). To apply, send letter of interest, curriculum vitae, GRE scores, master's degree transcripts, and a writing sample (manuscript, report, etc) to tom.ho...@colostate.edu. U.S. citizenship is not required, but only U.S. citizens will be eligible for a full tuition waiver.
[ECOLOG-L] Bayesian Modeling Workshop Opportunity
The National Science Foundation is sponsoring an annual, two-week workshop to provide intensive training in Bayesian modeling for post doctoral researchers, academic faculty, and agency scientists. Twenty participants will be invited each year. There will be no cost for participation in the workshop, and a $1000 stipend will be provided to each participant to defray costs of travel. The first workshop will be held May 20-31, 2013 at Colorado State University in Fort Collins, CO. Goals of the Workshop 1. Provide a principles-based understanding of Bayesian methods needed to train students, to evaluate papers and proposals, and to solve research problems. 2. Communicate the statistical concepts and vocabulary needed to foster collaboration between ecologists and statisticians. 3. Provide the conceptual foundations and quantitative confidence needed for self-teaching modern analytical methods. Instructors: Tom Hobbs, Colorado State University Mevin Hooten, Colorado State University Kiona Ogle, Arizona State University Maria Uriarte, Columbia University For more information: www.nrel.colostate.edu/projects/bayesworkshop Questions: Dr. Tom Hobbs Natural Resource Ecology Lab Colorado State University 970‐491‐5738 tom.ho...@colostate.edu