Remote Sensing Image Scientist/Physicist/Engineer
About The Position
Candidate should have technical experience in image analysis of remote sensing systems data (PAN, IR, MSI, HSI, LIDAR, RADAR, etc.). Examples of relevant experience include radiometric or thermometric analysis, sensor/atmospheric calibration, MTF and SNR assessments, exploitation algorithm development, signal/image processing, modeling and simulation, and Fourier analysis. Candidate must possess familiarity with image processing and software tools such as ENVI/IDL, MATLAB, or Python. Other beneficial skills could include experience with atmospheric radiative transfer models (e. g. MODTRAN), XML data handling, image product formats (NITF, JPEG, etc.), AI/ML tools and “big data” analysis techniques.
Requirements
- Must be able to obtain and maintain a TS/SCI with polygraph clearance
- Bachelor’s degree with 5–7 years of relevant experience, Master’s with 3–5 years, or PhD with 0–2 years in Image Science, Optics, Applied Physics, Mathematics, or Engineering
- Demonstrated ability to perform technical analysis of EO remote sensing data; image processing and digital signal processing experience; image chain analysis
- Excellent presentation and communication skills; demonstrated ability to clearly explain technical issues to technical and non-technical audiences
- Demonstrated ability and success working independently and in team environments
- Customer focused and capable of representing the customer in user outreach, familiarity activities and community forums
- Experience developing/modifying engineering code in at least one of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results
Nice To Haves
- Bachelor’s degree in Image Science, Optics, Applied Physics, Mathematics, or Engineering with 7 or more years of relevant experience, or master’s degree with comparable experience
- Project management or leadership experience
- Experience with one or more of PAN, IR, MSI, HSI, LIDAR, or RADAR systems and analysis
- Experience developing/modifying engineering code in multiple of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results
Responsibilities
- Perform studies and analysis to characterize and improve the quality of remote sensing data
- Coordinate calibration planning by leading weekly payload calibration meetings, generate calibration handbooks, master schedules, data dissemination CONOPS, readiness plans, success criteria, and readiness review execution plans
- Manage collaborative sites for calibration activities; create, populate, and maintain data repositories to allow distributed teams to access required data and collaborate on execution
- Deliver and publish radiometric data, sensor characterization reports, and calibration task out briefs
- Fully analyze and report findings of calibration truth data, characterize and report accuracy
- Maintain and update scripts, processes and data required for calibration assessment and monitoring
- Conduct analysis to validate test and transition of capabilities
- Coordinate with external stakeholders to develop future capabilities, requirements updates and planning
- Monitor and assess enterprise product and data integrity
- Lead independent enterprise investigations of anomalous product quality performance and produce analysis to expedite problem identification and resolution
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
