Computer Vision, Satellite Image Processing and Geospatial Data Visualization
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.