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Contract Google Earth Engine Developer Jobs (NOW HIRING)

Startech Networks Inc

OSP Field Engineer

San Jose, CA · On-site

Title - OSP Field Engineer Location - Onsite in San Jose, CA Type-1099 contract long term Position ... Convert field notes into Google Earth/KMZ format (preferred). * Identify constructability issues ...

Startech Networks Inc

OSP Field Engineer

Chicago, IL · On-site

OSP Field Engineer/Fiber Technician Onsite in Chicago, IL Long term 1099 contract Position Overview ... Convert field notes into Google Earth/KMZ format (preferred). * Identify constructability issues ...

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

Texas A&M AgriLife

Postdoctoral Research Associate

El Paso, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

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Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Denver, CO • Remote

$51K/yr

Full-time

Posted 12 days ago

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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