Imagery Scientist - Expert/ SAR - (NCE)

Iftechs

Springfield (VA)

In loco

USD 120.000 - 150.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Iftechs is seeking an Imagery Scientist with expert-level experience in Synthetic Aperture Radar (SAR) to work in Springfield, VA. Candidates must have over 6 years in SAR expertise and be capable of communicating technical details effectively.

The ideal candidate will have experience with tools like SARPy and MATLAB, and be adept at developing methodologies for SAR imagery exploitation. A TS/SCI clearance is required, with a CI Poly expected soon after starting.

Competenze

  • 6+ years of experience as a SAR expert.
  • Experience with SARPy and MATLAB SAR toolbox.
  • Deep understanding of remote sensing principles.

Mansioni

  • Use SAR for determining occurrence and location of OOI.
  • Develop and evaluate new algorithms and methodologies.
  • Communicate SAR capabilities to various audiences.

Conoscenze

SAR expertise
Python
MATLAB
Machine learning
Communication

Strumenti

SARPy
Google Earth Engine

Descrizione del lavoro

Imagery Scientist - Expert Level (5) (18+ years experience) - NGA Springfield, VA

Synthetic Aperture Radar (SAR)

Clearance Level - TS/SCI

CI Poly Required immediately after starting

Required Qualifications
  • 6+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products
  • Experience with SARPy and Matlab SAR toolbox
  • Experience with RNIIS, information theoretic-based image quality metrics, SAR imagery quality metrics, and sensor metadata (e.g., graze, squint)
  • Experience exploiting SAR to determining 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, Google Earth Engine
  • Experience communicating with technical and non-technical audiences about the availability and capabilities of SAR
  • Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
Desired Qualifications

Experience applying CV and machine learning to SAR imagery

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