Sr. SAR Image Scientist 100-008
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IC-CAP LLC is a Woman Owned / HUBZone Small Business working in the Department of Defense and Intelligence Community. We are always looking for highly talented, energetic, and dynamic professionals that are interested in protecting the defense of our nation.
Some of the positions are future positions. Please look at the opening line of the job description to determine if this is an open or future position.
Our positions are not remote unless stated in the job description below.
We are looking to fill this position at the following location(s):
- Washington, DC
Job Description
Sr. SAR Image Scientist is a unique opportunity to enhance your career by working with the community subject matter experts, directly with the customer and with project autonomy not customarily given as a government contractor. Based on the priorities of the customer, the image scientist will support product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality equations to quantify the expected quality of a system given various parameters.
Duties may Include:
Have a working understanding and practical application of modeling components of the image path to include sensor, detector, atmospheric, and material properties.
Simulation and modeling experience and ability to develop algorithm description documentation for software development is needed.
Familiarity with current GEOINT systems, products and development, as well as the exploitation software packages will be necessary to develop test and verification methodologies.
Work within an existing team to complete tasks as prioritized by government customers.
Good communication and teamwork is necessary. A history of delivering results is critical to success.
Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain
Algorithm assessment to quantify the performance of a product given desire mission application
Performing baseline assessment of system performance to support sensor initialization
Operational monitoring of system performance over time
Responding to detected errors and artifacts by recommending possible causes and corrective actions
Experience and Education
Required:
Bachelor or advanced degree in Image Science, Optics, Engineering, or Applied Physics
12 Years of experience with a BS/BA, or 10 Years of experience with an MS/MA, or 7 Years of experience with a PhD
Must have SAR expertise
Experience working with Imagery and Complex products collected with SAR imaging platforms
Image processing and Digital Signal processing experience
Image chain analysis to include sensor modeling, signal quality and noise, detectors, detector calibration, and complex processing image formation.
Application of error estimation.
Understanding and application of image quality standards (e.g. NIIRS), scales, metrics and image quality equations.
Significant applied knowledge of sensor imaging systems, products, and exploitation processes
Strong understanding of the systems engineering lifecycle to include independent testing and data verification
Strong written and oral communication skills, with emphasis on briefing to obtain decisions and solve technical issues and test plans/reports writing
Ability to work independently as well as part of a team
Willingness to learn, solve problems and perform in a dynamic work environment
Track record of delivering results
Desired:
Knowledge of National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) image chain, specifically the exploitation of SAR imagery and complex data products.
Experience working in a DoD or IC operational environment
Experience developing engineering code (C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.
Security Clearance:
Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed
IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.