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    Summary

    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.

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    Responsibilities

    ADDITIONAL INFORMATION: Research Scientists at the National Geospatial Intelligence Agency (NGA) leverage science and technology investments made by industry, academia and other government agencies including DARPA, IARPA, and NSA Research, to accelerate delivery of new capabilities to NGA. They develop capabilities and implement prototypes that are subjected to rigorous, objective, independent testing/evaluation prior to transition to users in the intelligence community and DoD. NGA is seeking research scientists in the following 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. Strong background in computer science, mathematics, statistics, or related field is desired as is substantial supervisory experience.
    2) Environment and Culture. Build and manage programs related to modeling and detection of biological, chemical, or nuclear proliferation activities. Candidates must have experience leading multi-disciplinary research projects and teams focused on developing complex models. An advanced degree and strong background in computational biology, genetics and proteomics, biochemistry, or related fields is highly desired.
    3) GEOINT Assurance. Develop new technology-based capabilities to enable NGA to sustain the agency's GEOINT data, sensors, and analytics against threats from adversaries. Candidates should have 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. A strong background in physics, astrophysics, computer science, mathematics, statistics, or related field is required. Experience with mathematical modeling that can be 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 w/data this group analyzes 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. A background in statistics, computer science, predictive analytics and math/stat modeling and extensive experience building and managing research programs is desired.
    5) Automation. Develop, manage and monitor people in 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. The candidate must have extensive experience with design and implementation of video data management and video exploitation for computer vision algorithms, preferably machine learning related. Experience in a computer vision or a video exploitation related field and published research in the field of Motion GEOINT and/or computer vision using a variety of geospatial data types is critical.
    6) Automation. Develop, manage and monitor research projects working with satellite and ground level imagery, leading new computer vision research projects. The candidate must have subject matter level 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, preferably machine learning related.
    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. The candidate should have experience in neutron detection and related instrumentation, be familiar w/ 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. Requires 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. Must be prepared to rigorously test, evaluate, and adapt potential solutions and facilitate collaboration between NGA and government and commercial data providers.

    Supervisory status

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This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/486895000. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.