CSS, Inc. has an immediate need for a Marine Spatial Modeler to join the Marine Spatial Ecology Division, an interdisciplinary science team at the National Oceanic and Atmospheric Administration’s (NOAA) National Centers for Coastal Ocean Science (NCCOS). The Branch specializes in ecological studies that map, characterize, assess, and model the spatial distributions of marine and coastal habitats and movement of organisms across habitats throughout the United States and Island Territories. Experience in marine ecological sciences is being considered; however, candidates with strong backgrounds in spatial/geostatistical environmental or geological modeling related to seafloor habitat mapping are preferred. We seek candidates with demonstrated expertise using scientific programming languages (R, Python, Matlab) to fit a variety of advanced spatial/spatio-temporal statistical models to marine ecological data – including both physical and biological aspects of marine and coastal ecosystems. Successful candidates will help conceive and implement solutions to large, complex spatial and spatio-temporal modeling challenges, including primarily modeling of physical, oceanographic, and geological aspects of marine habitat, and secondarily species’ distributions, and/or marine wildlife survey data. Examples of potential projects include spatial modeling of seafloor habitats; estuarine and coastal habitats; marine ecosystem structure (e.g., connectivity, biodiversity); and spatio-temporal distributions of corals, fish, seabirds, and marine mammals in a variety of US jurisdictions.
- Provide statistical, computational, and analytical support for projects that use predictive models, in conjunction with large habitat, ecological survey, and environmental databases, to provide spatially-explicit maps to address questions of marine management and conservation relevance:
- Design and implement spatial and spatio-temporal statistical models of marine habitat (primary), and (secondary) marine ecosystem properties, and marine species’ distributions (e.g., coral, fish, seabird, and marine mammal occurrence and abundance);
- Develop and implement model selection, validation, skill assessment, and ground-truthing algorithms;
- Synthesize and interpret model outputs in the context of applied management and conservation problems.
- Conduct marine environmental data-mining, assimilation, and integration:
- Mine large databases of seafloor, environmental, and oceanographic data to characterize marine habitats;
- Develop statistical and analytical approaches for data integration, including data assimilation and multi-scale approaches;
- Automate data acquisition, data mining, accuracy assessment, and QA/QC.
- Contribute to peer-reviewed publications, presentations, and technical memoranda.
- Provide statistical guidance and scientific programming skills to team members.
- Occasional travel to federal and state laboratories, academic institutions, and field missions as part of collaborative research projects.