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Imagery Scientist - SAR Senior AND Expert (KP) Job#819

Allen Integrated Solutions
Posted 2 months ago, valid for 15 days
Location

Springfield, VA 22161, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Imagery Scientist - SAR Senior and Expert position is located in Springfield, VA, requiring a TS/SCI clearance and a current CI polygraph upon starting.
  • Candidates must have at least 4 years of experience as a SAR expert, with a strong understanding of collection, phenomenology, image formation, and exploitation products.
  • Experience with SARPy and Matlab SAR toolbox, as well as knowledge of image quality metrics and sensor metadata, is essential for this role.
  • The position also entails developing and evaluating new algorithms and methodologies using SAR imagery with tools like Python and Google Earth Engine.
  • The salary for this position is competitive, reflecting the advanced expertise and responsibilities required.

Imagery Scientist - SAR Senior AND Expert (KP)Ā 

Location: Springfield, VAĀ 

TS/SCI REQUIRED

Current CI polygraph is required immediately after starting (or already within scope)

Position Responsibilities:Ā Ā 

  • 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products
  • Experience using SARPy and Matlab SAR toolbox
  • Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth)
  • Experience exploiting SAR to determine the occurrence and location of an OOI
  • Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth EngineĀ 
  • Experience communicating with technical and non-technical audiences on availability and capabilities of SARĀ 
  • Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methodsĀ 
  • Desired: Experience applying CV and ML techniques to SAR imagery and data

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