Imagery Scientist SAR - Expert

Imagery Scientist (SAR) - Expert

Falls Church, VA

TS/SCI

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What Impact You'll Have

GRVTY is seeking a motivated and experienced Imagery Scientist to serve as the subject matter expert on SAR imagery and provide technical direction across the full imagery acquisition and preparation lifecycle. The ideal candidate is an experienced SAR imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of sensors and platforms.

What You'll be Owning

• Integrate emerging sensors and platforms into existing data pipelines and workflows, including:

• Develop pipelines and relevant data structures for emerging capabilities

• Conduct 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 regard to changes to:

• Databases and schemas

• APIs and other ETL-related processes

• Ingestion and movement of data within the existing data operations pipeline

• Determine how to acquire new data, including:

• Potential latency associated with acquisition

• Data formats and security domains

• Determine how to pre-process and standardize data to match existing standards or be transformed into a usable state for labeling and model development purposes, including:

• Converting between file format types

• Tiling full-size images into specified sizes or geospatial bounds

• Investigate gaps in emerging sensor capabilities that may require supplementation from other sources

• Explore options for coincident imagery collects from other imagery platforms to:

• Identify EO or other platforms with aligned geographic and temporal coverage

• Determine platforms with similar collection window to emerging data types

• Develop and implement mathematical conversion models to:

• Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image)

• Develop methods to execute tiling and pre-processing of full-size raw imagery into specified sizes and data formats while maintaining metadata and data integrity

• Generate tiles from full-size image collects with specified, precise geospatial boundaries, accounting for orthorectification to ensure geospatial accuracy at tile edges

What You Must Have

• Active TS/SCI Clearance with the ability to obtain a CI/Poly

• Exhibit understanding of:

• Collection and phenomenology

• Image formation processes

• Exploitation products and methodologies

• Hands-on experience with SAR data processing tools and libraries including:

• SARPy

• MATLAB SAR Toolbox

• Demonstrated experience with imagery quality metrics, including:

• RNIIRS and information theoretic-based image quality metrics

• SAR-specific metrics such as Integrated Sidelobe Ratio (ISLR) and Multiplicative Noise Ratio (MNR)

• Sensor metadata describing geometry impacts on phenomenology (e.g., graze, squint, azimuth)

• Experience exploiting SAR imagery to determine the occurrence and location of objects of interest

• Experience developing, testing, and evaluating:

• New algorithms, processes, methodologies, and exploitation products

• Automated scientific workflows using advanced processing tools including:

• Python

• MATLAB

• Google Earth Engine

• Deep understanding of:

• Remote Sensing Principles

• Advanced imagery processing and exploitation methods

• Sensor and platform limitations and advantages

• Proven ability to communicate technical concepts to:

• Technical audiences

• Non-technical stakeholders

• Intelligence users

What Would be Nice to Have

• Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems