The Postdoctoral Research Associate at the Virginia Institute of Marine Science (VIMS) within the Department of Biological Sciences investigates the role of climate gradients on the structure and function of communities of organisms in coastal rivers along the Gulf Coast of Texas. The position will be located at VIMS, but will involve collaboration with investigators at other locations including University of Florida, Sam Houston State University and Texas A&M University - Corpus Christi. Field work will take place during one year of the project and will be based out of a collaborator's lab at Texas A&M University - Corpus Christ. Specific core duties include: Perform calculations to estimate secondary production of invertebrate and fish communities through time in 9 coastal rivers Analysis of temporally replicated datasets of fish, invertebrates, and ecosystem functions (GPP, ER, Litter Decomposition, Secondary Production) Lead field experiments in south Texas to assess relative importance of top-down vs bottom-up drivers of riverine communities across the climate gradient Disseminate scientific results through presentations and publications * The successful applicant will also have the opportunity to contribute to other lab projects in coastal VA and develop independent research consistent with the goals of the Coastal Ecosystem Ecology laboratory group.
Education: PhD in an environmental science related field (e.g. freshwater ecology, biology, geology) at the time of appointment. Competencies: Basic knowledge of and field experience working in stream or riverine ecosystems Basic proficiency in freshwater invertebrate identification Strong quantitative skills in statistical analysis and programming using R Strong scholarship record commensurate with experience Experience: Experience in freshwater aquatic ecosystems Experience calculating secondary production
PREFERRED QUALIFICATIONS Competencies: Familiarity with stream benthic invertebrate communities and ecology Familiarity with freshwater fish communities and ecology Familiarity with food-web analysis methods Experience: Experience with gut content analysis Experience working with stable isotope data Familiarity with methods and applications of ecosystem ecology in aquatic ecosystems (GPP, ER, Metabolism, etc) Experience using any of the following statistical analysis methods: generalized linear models, mixed effect models, multivariate data analysis, structural equation modeling, time series analysis Experience working with spatio-temporal community datasets Experience with field experiments in aquatic ecosystems, particularly caging studies Experience calculating whole community estimates of secondary production for invertebrates, fish, or both using standard methods such as a cohort or size frequency approach