Seeking students with geospatial modeling, computer vision, and/or machine learning capabilities to join a group of exciting, innovative scientists mapping seafloor communities. Projects include: 1) advancing applications of computer vision techniques and spatial metrics for biotic and abiotic detections 2) advancing artificial intelligence annotation workflows and inference detections through model development, and 3) advance exploitation and extraction techniques of biotic and abiotic seafloor feature classes from underwater uncrewed vehicle payloads (UUVs).
Geospatial Investigations of Coastal and Great Lakes Ecological Communities (MD & NC)
- Published on:
- Science Area(s): Internships, Research
- Region(s) of Study: Maryland, North Carolina
Summary / Description
Skills Required
Experience/coursework in statistics, advanced mathematics, computer science, machine learning and/or signal processing. Enthusiasm for marine science and environmental research. Critical thinker; independent worker; established research skills to conduct literature reviews, develop and implement workflows; ability to clearly synthesize and communicate results to scientists; strong organizational skills. Experience with code writing and deployment, R, ArcPro, Python, and/or MatLab is desirable.
Type of Opportunity
- Research
Location
- In-person preferred. NOAA’s National Centers for Coastal Ocean Science, Marine Spatial Ecology Division, Silver Spring, MD or Beaufort, NC.
Other Information
- Intern Supervisor: Tim Battista
- Number of Slots Available: 2