Description

The Naval Research Laboratory (NRL) invites proposals for postdoctoral research focused on developing novel algorithms and techniques—including artificial intelligence (AI), machine learning (ML), and statistical methods—to retrieve biophysical information from high-resolution remote sensing data. The research emphasis is on the coastal regime, particularly coastal waters but also including adjacent land areas.

The goal is to leverage the rich spectral and spatial information contained in hyperspectral and multispectral data cubes to extract detailed coastal biophysical parameters such as:

• Concentrations and types of physical and biological constituents in water
• Bottom depth and bottom type
• Terrestrial soil type and characteristics
• Coastal vegetation distribution
• Physical and biological coastal processes
• Detection and identification of underwater targets

Research topics may include, but are not limited to, observing system simulation experiments, atmospheric compensation for remote sensing data, theoretical modeling, image processing, feature extraction and classification, and target identification.

NRL provides awardees with access to advanced sensing and imaging systems (hyperspectral, multispectral, thermal, and polarimetric), calibration facilities, and computational resources to support the research.

This opportunity is part of the NRC Research Associateship Programs, which offer prestigious postdoctoral fellowships at federal laboratories.