JOB DESCRIPTION: R&D Scientists apply the scientific method in one or more disciplines (e.g., Photogrammetry, Geodesy, Computer Science, Mathematics, Image Science, Human Terrain Analysis) to advance Geospatial Science and enhance Agency tradecraft. They conduct and develop novel scientific research projects and facilitate interdisciplinary collaboration to further scientific inquiry and application. They provide technical guidance and oversight, report results, and advise management on new and evolving technology. They address a variety of complex data-related analytical problems by applying quantitative and qualitative analytic methods.Learn more about this agency
ADDITIONAL INFORMATION: NGA is seeking research scientists in the following scientific areas: 1. Geospatial Cyber. Develop/manage/monitor research projects and personnel in cyber-based pattern-of-life discovery, mobility modeling, geospatial inference, and protection from threat to GEOINT data and methods. Background in computer science, mathematics, statistics, or related field is desired and substantial supervisory experience. 2. Environment and Culture. Perform research to understand how US national security is impacted by the effects of complex natural systems and cultural dynamics. Leverage traditional and non-traditional geospatial data sources to model trends in cultural and natural systems, represent the complex interaction between humans and their environment, and anticipate their impact on problems of relevance to the IC. Design/execute/lead new multi-disciplinary programs focused on modeling & detection of biological, chemical, or nuclear proliferation activities. Understanding how disparate non-traditional geospatial data sources can be combined with traditional data to model language/dialect distributions, disease spread, community demographics, and other human geography issues related to national security. Serve as an expert for research design frameworks such as mixed-methods approaches or process-driven model construction. Advanced degree desired in: quantitative social science, computational linguistics, anthropology, demography, disease modeling, spatial epidemiology, computational biology, genetics and proteomics, biochemistry, agriculture, or hydrology. 3. GEOINT Assurance. Develops new technology-based capabilities to enable NGA to sustain the agency's GEOINT data, sensors, and analytics against threats from adversaries. Demonstrated ability and strong interest in developing his/her own research program in artificial intelligence and machine learning, cybersecurity, operational resilience, and space situational awareness. Strong background in physics, astrophysics, computer science, mathematics, statistics, or related field/experience with mathematical modeling applied across multiple research projects is desired. 4. Anticipatory Analytics. Develop quantitative models of human dynamics using spatiotemporal datasets, data-driven collection, automation, and activity-based intelligence (ABI). Utilize spatiotemporal datasets to develop quantitative models of human dynamics. Particular challenges associated with data this group include correlation across data sets assembled from multiple types of sensors, pattern recognition in high volumes of sparsely sampled data, and operational demand for near-real time and predictive analytics. Background in computer science, predictive analytics, math/stat modeling, and managing research programs is desired. 5. Automation. Develop/manage/monitor people & programs in the hands on creation of new computer vision algorithms to address mission requirements in full motion video, wide area motion imagery and ground level video. Extensive experience w/ design & implementation of video data management/video exploitation for computer vision algorithms (preferably machine learning related). Computer vision or a video exploitation related field and Motion GEOINT and/or computer vision experience using a variety of geospatial data types is also critical. 6. Automation. Develop/manage/monitor research projects working with satellite and ground level imagery, leading new computer vision research projects. Experience with design and implementation of data management and state of the art computer systems for computer vision algorithms, object detection, and classification and image segmentation is desired. 7. Geophysics. Formalize/enhance the current/emerging R&D efforts in particle physics so as to gain best return on investment of R&D efforts on counter-proliferation via innovative approaches to enhance modeling/detection of subatomic particles. Experience in neutron detection and related instrumentation, be familiar with Large Area Picosecond Photo Detector (LAPPD) technology, picosecond electronics, battery systems, and the integration of ruggedized instrumentation. 8. Spectral. Provide technical expertise to ensure NGA readiness for future Electro-Optical (EO) space systems. Assess system performance capabilities using surrogate data and deliver new methods of processing that leverage specific system characteristics. Experience in astronomical image processing, clutter suppression techniques, framing focal plane arrays, sensor calibration, and processing of images for non-literal analyses is key. Strong knowledge of remote sensing fundamentals with cognizance of the state of practice in machine learning, computer vision, and data science for automated content extraction from noisy measurements. Be prepared to rigorously test, evaluate, and adapt potential solutions and facilitate collaboration between NGA and government and commercial data providers.
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