The Computer Vision Scientist contributes to all aspects of development, maintenance, and integration of image and video-based algorithms.Principal Duties: 1. Develop and implement image and video-based algorithms for automated detection, tracking, and classification of materials and targets in hyperspectral images. 2. Research and develop novel computer vision algorithms for implementation in real-time systems. 3. Optimize algorithms to overcome challenges presented by real-world data. 4. Provide feedback on image quality to help drive improvement in overall system performance. 5. Lead research activities for ongoing government and commercial projects and products. 6. Collaborate on proposals, grants, and publications in the area of algorithm development. 7. Collect data as warranted to support the algorithm development efforts. 8. Work directly with software engineers to implementation of algorithms into commercial software products.
Knowledge, Skills, and Abilities: • Self-motivated, team player, action-and-results oriented • Well organized, good communication and reporting skills • Enthusiasm for developing innovative solutions in a rapid development environment • An understanding of an appreciation for process-based approaches to research and development • Ability to communicate complex algorithms to non-technical employees in a clear and concise manner • Total commitment to quality and complete attention to detail • Ability to work under tight project deadlines • Displays original thinking and creativity, able to meet challenges with resourcefulness
• MS or PhD in Computer Science, Robotics, Engineering, Applied Math, or the Physical Sciences with an emphasis in computer vision or image processing • 3+ years strong Matlab programming experience; OpenCV programming experience; Experience with C# is a plus • Extensive experience with computer vision algorithms such as object recognition, target tracking, geolocation, and multi-sensor image registration and fusion • Experience with standard imaging processing techniques such as image filtering, segmentation, and feature extraction • Experience with adapting algorithms for real-world data • Enthusiasm for developing innovative solutions in a rapid development environment • Well versed in current algorithm literature • Experience with hyperspectral image analysis and with multivariate statistical techniques such as pattern recognition, calibration, classification, and optimization • A willingness/ability to travel; In support of field trials, for example • US Citizenship required with willingness and ability to successfully obtain government security clearance
Working Conditions/Physical Demands: • Perform sedentary work - exerting up to ten pounds of force occasionally. Sedentary work involves sitting most of the time. • See, hear, talk and perform tasks requiring manual dexterity; standing, walking and other similar tasks requiring physical activity. • Operate standard office equipment including a computer, copier, fax, phone and other similar office equipment. • Work setting is primarily office based but conditions may involve limited exposure to chemicals, emitted radiation, fumes, dust, odors, gases and other substances when in a laboratory environment.
Additional Salary Information: Dependant on education, experience and knowledge.