Image Scientist

• Graduation from and accredited Image Science program at a university or military training program.
• Basic understanding of simulation and modeling techniques or the image creation process.
• Working knowledge of imagery systems to include basic types of PAN, IR, and RADAR.
• Working knowledge of various basic ELTs, Matlab, and mathematics/equations/functions.
• Basic knowledge of sensor types to include airborne, space-borne, and FMV.
• Knowledge of Microsoft Office tools.
• Basic oral and written communication skills.

All the junior level experience plus:

• Experience with creation of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations.
• Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
• Experience with imaging systems to include PAN, IR, MSI/HSI, RADAR, and LIDAR, on both space or airborne platforms.
• Simulation and modeling experience and ability to develop algorithm description documentation for software development.
• Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
• Typically reports to a manager, work is independent yet collaborative.

All the junior and mid Level experience plus:

• Ability to develop and lead any large-scale evaluations to include, but not limited to, image quality studies, new product/sensor initializations, product algorithm assessments, back to operations reviews, and the development of image quality equations (IQEs).
• Full image processing and digital signal processing experience.
• Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data to display radiometrically correct values.
• Application of error estimation for thermometric and material identification products.
• Understanding and application of image quality standards such as NIIRS scales and metrics.
• 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 to include briefing and creation of presentations.
• Self-starter with ability to learn, research, and solve problems with on their own accord.
• Work is highly independent and you may assume a lead role.