Image Scientist 263

Freedom Technology Solutions Group•Springfield, VA

13d

About The Position

Freedom Technology Solutions Group is seeking an Image Scientist. The Image Scientist (IS) will serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications. The IS will provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards. The IS will provide detailed recommendations and risk assessments to Government and technical leadership. The IS will design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows. The IS will mentor and guide junior image scientists in the development of criteria for testing algorithm and system’s cognitive performance objectively from an end-user perspective, as well as perform evaluation and testing on simulated and operational data.

Requirements

Active TS/SCI with the ability to obtain a Poly
Master's degree/PhD in Imaging Science, Physics, Engineering, Mathematics or quantitative science field and 10 years of experience as a Image Scientist
Demonstrated knowledge of digital imaging systems principles and practices
Experience supporting the development, testing, and analysis of image collection systems
Experience applying engineering standards, principles, theories, concepts and techniques to solve complex problems associated with image product formation from raw sensor and associated metadata
Experience or working knowledge with advanced photogrammetric techniques and principles
Experience performing image system simulations to produce realistic test data to support system validation and testing
Experience or demonstrated ability to develop, assess, and implement Image Quality Equations
Experience building image processing algorithms
Experience programming in Matlab and/or Python, C++, or other equivalent programming languages
Experience analyzing and assessing quality of image data across the full-range of sensor types, sources, and phenomenology’s
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.
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.

Nice To Haves

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.

Responsibilities

Serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications.
Provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards.
Provide detailed recommendations and risk assessments to Government and technical leadership.
Design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows.
Mentor and guide junior image scientists in the development of criteria for testing algorithm and system’s cognitive performance objectively from an end-user perspective.
Perform evaluation and testing on simulated and operational data.
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).
Perform full image processing and digital signal processing.
Conduct 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.
Apply error estimation for thermometric and material identification products.
Understand and apply image quality standards such as NIIRS scales and metrics.
Apply significant knowledge of sensor imaging systems, products, and exploitation processes.
Demonstrate strong understanding of the systems engineering lifecycle to include independent testing and data verification.
Communicate effectively through strong written and oral communication skills, including briefing and creation of presentations.
Act as a self-starter with the ability to learn, research, and solve problems independently.
Assume a lead role in highly independent work.

Benefits

Flexible work environment
A team mentality – work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Extremely competitive compensation and benefits
A work-life balance you can count on
Opportunities to grow and advance your career on our dime
Amazing benefits including matching 401k, fully paid medical, and more
Generous paid time off – including paid site closure days
Competitive salary offerings
Paid training and tuition reimbursement
Referral bonuses
Fully paid life and disability
Annual logo wear allowance
Company sponsored events (game nights, holiday party, summer party, happy hours)