The National Geospatial-Intelligence Agency (NGA) delivers world-class geospatial intelligence that provides a decisive advantage to policymakers, warfighters, intelligence professionals and first responders. Anyone who sails a U.S. ship, flies a U.S. aircraft, makes national policy decisions, fights wars, locates, targets, responds to natural disasters, or even navigates with a cellphone relies on NGA. NGA enables all of these critical actions and shapes decisions that impact our world through the indispensable discipline of geospatial intelligence (GEOINT).
NGA's Research directorate - Predictive Analysis Pod - Encompasses techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or other unknown events. Sometimes the event is in the future, but predictive analytics can be applied to any type of unknown - past, present or future.
The predictive Analytics Pod seeks PhDs in a variety of disciplines:
This research opportunity is with the Research Directorate at the National Geospatial-Intelligence Agency in Springfield, Virginia. NGA Research is looking for a scientist to conduct applied research in the area of computer vision, satellite image processing and analysis, and geospatial data visualization. Under the guidance of a mentor, the overall objectives for this research are to develop new software scripts and tools that provide rapid analysis of agriculture and land use, apply machine learning and deep learning to identify agricultural fields, and analyze times series of vegetation indices. Emphasis will be placed on cloud computing infrastructure, machine learning algorithms, deep learning frameworks, and testing and validation procedures. The prospective candidate will be a member of an experienced team responsible for developing new methods and carrying out research on small-holder agriculture as it relates to human and environmental security.
PhD by start of appointment in the one of the following fields: computer science, geography, natural resource management, mathematics, statistics, data science, environmental science, remote sensing, physics, biology, ecology, or a related field.
Experience with one or more of the following: Google Earth Engine, deep learning, convolutional neural networks, data science and engineering, land use and land cover classification, time series analysis, and/or best practices in geo-visualization.
Research experience as evidenced by original, published work in one or more of the following areas: data science, image processing, image analysis, computer vision, land systems science, geographic information systems, remote sensing, and cloud computing.
While some of the research can be carried out UNCLASSIFIED, additional consideration will be given to those who can acquire and hold a TS/SCI clearance.
A background check will be conducted for an SCI security clearance. Completion of Questionnaire for National Security Positions is required.
NGA is a drug-free workplace. Initial and random drug tests will be conducted.