Demo

Imagery Scientist LIDAR - Mid-Level

Solis Applied Science
Springfield, VA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/28/2025

Job Description

Solis Applied Science is seeking a Mid-level Exploitation Specialist – Light Detection and Ranging Imagery Scientist professional with experience focused on providing Imagery Scientist support with expertise and skill in scientifically processing and utilizing LIDAR data, including viewshed and line-of-sight analysis, point cloud manipulation and editing, Z-clipping, slope, hillshade, and aspect analysis, feature digitization, FOPEN analysis, and 3D modeling. Positions are in the Northern Virginia area.

Responsibilities :

Imagery Scientist LIDAR specialists must understand sensor design principles and how they affect sensor performance in this field; be proficient in using ArcGIS (including Spatial Analyst, 3D Analyst, and preferably LIDAR Analyst), QT Modeler, or other 3D analysis tools; have knowledge of the US Intelligence Community, especially imagery collection and exploitation, and GEOINT's role in intelligence; and have experience working with various national and service intelligence agencies / centers.

Required Skills

  • Bachelor of Science degree or higher in Image Science, Remote Sensing, Earth Science, Physical Science, Engineering, Computer Science, Statistics, or a related engineering / science discipline.
  • Proficient in, with a minimum of 3 years' experience in applied image processing and scientific analysis of LIDAR data.
  • Extensive experience and expertise in the scientific processing and analysis of LIDAR data, including viewshed / line of sight analysis, point cloud manipulation and editing, Z-clipping, slope, hillshade, aspect analysis, feature digitization, FOPEN analysis, and 3D modeling.
  • Experience in the scientific processing of LIDAR data from both civil and commercial imaging systems.
  • Knowledge of sensor design principles and how they relate to sensor performance within this field / phenomenology.
  • Proficient in using ArcGIS (including Spatial Analyst, 3D Analyst, and preferably LIDAR Analyst), QT Modeler, and ENVI.
  • Strong interpersonal, written, and communication skills, with the ability to engage effectively with individuals at all levels within the GEOINT Community.
  • Proven familiarity with the U.S. Intelligence Community, particularly in imagery collection and exploitation, as well as GEOINT's role in the intelligence mission.
  • Experience working collaboratively with various national and service intelligence agencies / centers.
  • Knowledge in the tasking of overhead intelligence collection systems.
  • Proficiency in MS Outlook, Word, PowerPoint, Access, Excel.
  • Working knowledge in the Windows operating system.

Desired Skills

  • Proficient in creating and delivering lesson materials in both formal classroom settings and for digital formats such as video or CBT recordings. Familiar with microlearning techniques, video editing, and lesson plan development principles.
  • Formal training in remote sensing, earth science, physical science, or engineering / mathematical disciplines.
  • Extensive knowledge of imaging radar physics, phenomenology, and phase history processing.
  • Proficient in Matlab, IDL, or similar image / signal processing capability.
  • Knowledge or experience with GIS software and methodological principles, especially ArcGIS.
  • Advanced degree in a scientific discipline, or in social science / security studies when paired with relevant academic or professional technical experience.
  • Proficiency with MS SharePoint, especially as implemented in the IC / JWICS architecture.
  • Experience and technical expertise in the development and use of APIs.
  • About Solis Applied Science

    Solis Applied Science (Solis), a Service-Disabled Veteran-Owned Small Business, was founded in 2016 by remote sensing experts, with deep-rooted academic, federal, military, and industry applied science backgrounds. From the onset, the focus of Solis has been to develop critical customer capabilities and apply novel technologies to problems across the remote sensing continuum. The result is a distinct appreciation of how remote sensing technologies can influence real-world situations and a genuine desire to assist our customers in adapting to an ever-changing, technology-driven environment. Our innovative, common-sense solutions solve the most complex problems our customers face and maximize return on their technology investments.

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