US Environmental Protection Agency, National Health and Environmental Effects Research Laboratory Post-Doctoral Researcher Position
US EPA Postdoctoral Research Project: Linking Ecosystem Change to Rates of Water-Based Illness in Coastal Communities
Duration: 3 year
Project Number: WED-04-03-2019-01
EPA's National Health and Environmental Effects Research Laboratory (NHEERL) Post-doctoral Research Program is seeking applicants to conduct research focused on linking changes in coastal ecosystem condition to rates of water-based illnesses in coastal communities. The research may address how changes in watershed land use/land cover or hydrology, estuarine water quality or other environmental stressors affect rates of illness due to consumption of contaminated food or exposure to pathogen- or toxin-contaminated water; or how ecological, environmental and social factors interact to affect estuarine-related disease rate. The research may investigate how illness rate or exposure risk changes spatially within or between estuaries (and associated watersheds) in the Pacific northwest, or regionally along US coastlines. The research should use innovative methods to identify illness-producing organisms or their sources, quantify their abundance in environmental samples (water, tissues, etc.), and/or assess public health risk. Focal disease organisms for this research may include microbial or viral pathogens or toxin-producing micro-organisms (i.e., harmful algal bloom species). The research may include models to assess transport and fate of pathogens which can be used to inform restoration and risk assessment.
Educational Requirements: Ph.D. in microbiology, microbial ecology, ecological or epidemiological modeling, or related discipline.
Specialized Training: Preferred candidate will have knowledge of laboratory- or field-based analytical methods for identifying and quantifying water-borne, illness-producing microorganisms is required; experience with innovative methods for microorganism identification and quantification; experience with analysis of microbiome for both diversity and function; experience developing statistical or mechanistic models to link incidence of disease organism blooms to changes in aquatic environmental conditions and/or to human health; and experience using GIS, R, Matlab, bioinformatic or similar programs for statistical analysis and modeling.
Application due date: May 02, 2019
For more information contact, Cheryl Brown (email@example.com).
For details on the position and how to apply go to the following