Title:
Expert Image Scientist
The Image Scientist - Expert providesexpertise in imagery science, imagery analysis, and photogrammetry to enable the detailed technical analysis of GEOINT product quality concerns. The Senior Image Scientist position requiresa highly experienced individual who canprovide oversight and continuity of knowledge to the team and independent assessment tasks. This role will also support algorithm development and validation related to imagery science tasks.
Provideexpert/senior imagery scientist support through accomplishment of technical reviews, consultations, oversight of proposed and executed GEOINT product quality assessments and studies, and strategic level product quality direction.
Provide image processing algorithm validation and verification in support of GEOINT product quality assessments or ad hoc customer requests.
Provide imagery science services and analysis in support of GEOINT product quality assessments for the full range of traditional and non-traditional imaging systems, products, and data formats; sensor fidelity assessment, pixel registration assessment, Tonal Transfer Curve assessments, Relative Edge Response assessment, MTF and Signal to Noise Ratio assessment, and other product quality parameters.
Support algorithm development in support of imagery science tasks and assessment of various product quality parameters.
Provideexpert/senior photogrammetrist services and engineering in support of the full range of traditional and non-traditional imaging systems and products; assessment of product geolocation accuracy using verified geolocation of a known features, verifying mensuration accuracy through measurement of known objects, calculating ground sample distance, and other photogrammetric analyses as directed.
Provide senior imagery analyst support through technical review, consultation, and oversight of proposed and executed product quality assessments and studies, and strategic level product quality direction.
Provideexpert/senior imagery analyst services in support of GEOINT product quality assessment planning, execution, and results analysis; imagery review, artifact analysis, NIIRS evaluations (absolute NIIRS, delta NIIRS, and ENS NIIRS evaluations), display performance assessments, etc.
Required Education, Experience, & Skills:
A minimum of 20 years of experience and a Bachelor of Science degree in image science, remote sensing, earth science, physical science, engineering, or similar engineering/science field.
A MS degree may count for up to 2 years of experience, and a relevant PhD may count for up to 6 years of experience.
Scientist candidates must have experience in applied image processing and scientific analysis of imagery (SAR, IR, Spectral, Lidar), knowledge of image formation, and associated discipline phenomenology.
Experience scientifically processing imagery (SAR, IR, Spectral, Lidar) from Civil and Commercial imaging systems, proficiency with techniques, algorithms, and scientific analysis of associated discipline data processing using RSI ENVI.
Experience with GOTS applications such as FSTK and AGITK is a plus.
Scientists must possess the ability to communicate effectively in writing and oral presentations
Ability to work cooperatively and effectively as a team member.
Proficiency using ITT ENVI COTS image processing software, ERDAS IMAGINE, MS Office, Windows, and knowledge of programming languages such as IDL, R, Python. Familiarity with commercial and civil data sources, integration of resulting data into ArcGIS.
Security Clearance Requirements: Active TS/SCI (w/ poly preferred)
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
