CSS is seeking a highly qualified candidate for a Spatial Modeler/Quantitative Ecologist position on an interdisciplinary research team of contract and federal employees. The integrated research team will support the NOAA National Centers for Coastal Ocean Science (NCCOS) Biogeography Branch (http://coastalscience.noaa.gov/), which is a nationally recognized scientific research program that conducts spatial ecological analysis, statistical modeling, ecological forecasting, and predictive mapping to support marine ecosystem management, conservation, and spatial planning. The candidate will be employed by CSS to work on site at the NOAA National Ocean Service in Silver Spring, MD.
We seek a candidate with demonstrated expertise using scientific programming languages (R, Python, Matlab) to fit a variety of advanced spatial/spatiotemporal statistical models to ecological data – including both physical and biological aspects of marine and coastal ecosystems. The successful candidate will help conceive and implement solutions to large, complex spatial and spatiotemporal ecological modeling challenges, including modeling of species’ distributions, marine wildlife survey data, and/or physical, oceanographic, and geological aspects of marine habitat. Examples of potential projects include spatial and spatiotemporal modeling of corals, seabirds, marine mammals, fish, seafloor habitats, estuarine and coastal habitats, and marine ecosystem structure (e.g., connectivity, biodiversity) in a variety of US jurisdictions.
- Provide statistical, computational, and analytical support for projects that use predictive models, in conjunction with large ecological survey, habitat, and environmental databases, to provide spatially-explicit maps to address questions of marine management and conservation relevance:
○ Design and implement spatial and spatiotemporal statistical models of marine species’ distributions (e.g., coral, fish, seabird, and marine mammal occurrence and abundance), marine habitat, and marine ecosystem properties;
○ Develop and implement model selection, performance assessment, and validation;
○ Synthesize and interpret model outputs, including maps, in the context of applied management and conservation problems.
- Contribute to peer-reviewed publications, presentations, and technical memoranda.
- Provide statistical guidance and scientific programming skills to team members.
- Travel to federal and state laboratories, academic institutions, and field missions as part of collaborative research projects (<10% of time).