SAR Exploitation/Imagery Scientist, Senior

Castalia Systems•Springfield, VA

1d•Onsite

About The Position

Castalia Systems is seeking a Synthetic Aperture Radar (SAR) Exploitation/Imagery Scientist, senior, to support our client. A qualified candidate will perform the following duties and responsibilities, but are not limited to: Assist the SAR lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms. Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline. Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains. Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

Requirements

4+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products.
Experience SAR imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology.
Exhibit experience exploiting SAR to determine the occurrence and location of objects of interest.
Exhibit experience communicating with a variety of technical and non-technical audiences on availability and capabilities of SAR imagery products, methodologies, procedures, and algorithms to enhance analysis.
Exhibit an understanding of the principles of remote sensing and imagery processing and advanced exploitation methods.

Nice To Haves

Exhibit experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems.

Responsibilities

Assist the SAR lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.