Advanced Seafloor Mapping and Image Processing
This grant supports research on automated image processing for seafloor mapping using sonar data to identify objects, estimate roughness, and improve underwater navigation.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (RAP opportunity application deadline)
Funding Amounts: $99,200 stipend plus $3,000 travel allowance; fellowship duration typically 2-3 years
Summary: Supports postdoctoral research on advanced automated image processing methods for seafloor mapping using sonar data to improve object detection, bottom roughness estimation, and underwater navigation.
Key Information: Open to U.S. citizens and permanent residents; relocation and health insurance benefits included; requires contacting a Research Adviser prior to application.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) supports research focused on developing advanced, automated processing methodologies to maximize the information extracted from seafloor remote sensing data. The data sources include multibeam bathymetric and sidescan sonar systems. Research applications include:
- Estimation of bottom roughness
- Geological provincing
- Estimation of acoustic backscatter strength
- Identification of clutter
- Object detection and identification
- Scene change detection
- Underwater terrain navigation
Due to the unique challenges of underwater environments, the research emphasizes novel hybrid image processing methods tailored to seafloor mapping. The goal is to enhance the accuracy and utility of sonar data for scientific and navigational purposes.
This opportunity is part of the NRC Research Associateship Programs, which provide postdoctoral scientists and engineers with access to federal laboratories and mentorship from leading researchers.
