Opportunity at National Oceanic & Atmospheric Administration (NOAA)
Remote Sensing and Quantification of Subtidal Coastal and Marine Habitats Using Unoccupied Autonomous Systems
National Ocean Service, Center for Coastal Fisheries and Habitat Research
||Beaufort, NC 285169722
|Davis, Jenny L
||252 838 0804
|Taylor, James Christopher
||252 838 0833
Our program conducts research and syntheses to develop decision support tools, geospatial models, and data products to inform coastal ecosystem management. We use a suite of field sampling and remote-sensing tools, advanced underwater remote sensing and hydroacoustics technologies, underwater optics, unoccupied aerial systems (drones) and scuba diving to design ecological assessments and experiments to understand impacts of stressors on coastal ecosystems. Particular habitats of interest for this opportunity include coral reefs and salt marshes. Salt marsh research focuses on assessment of natural and nature-based infrastructure for coastal resiliency. Coral reef research focuses on impact assessments and restoration. The primary focus for this opportunity will develop remote imaging techniques such as photogrammetry and structure-from-motion using airborne and underwater optics to develop high-resolution digital models for use in ecological research and modeling.
Applicants should have a strong background in one or more of the following areas; remote sensing, photogrammetry, GIS analysis, geospatial and/or numerical modeling, estuarine sediment dynamics, coral reef ecology, wetland plant ecology, multivariate statistical analysis. The applicant will have the opportunity to interact with collaborators in the academic and private sectors, and may target one of several research directions relevant to overall program goals.
Structure-from-motion; Photogrammetry; Saltmarsh; Coral; Restoration; UAS; Drones; Mapping
Open to U.S. citizens, permanent residents and non-U.S. citizens
Open to Postdoctoral and Senior applicants
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the
number of years of experience past their PhD.