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-edge statistical and mathematical methods to solve complex spatio-temporal problems at scale, supporting operational decision-making under uncertainty. Our mission spans diverse applications in national
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on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing. We are a
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, urban networks (such as, electric grid and transportation networks), and urban disasters with a strong geospatial focus, statistical methods, graph theory, spatial computing, and semantic knowledge
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administers and supports the division’s computing, networking, and storage systems. The NCCS provides state-of-the-art computational and data science infrastructure, coupled with dedicated technical and
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on time and within budget. Experience researching and analyzing complex threat networks, including counter-narcotics, transnational organized crime, threat finance, counterterrorism, counter proliferation
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assessments on networks, systems, and applications. Cross-Functional Collaboration: Collaborate closely with System Administrators, software engineers, and Database Administrators (DBAs) to identify security
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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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. The Controls Integration Group designs, develops, maintains, supports and upgrades integrated high reliability control system solutions, including computing and network infrastructure, hardware, firmware and
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collaborators! The ideal candidate brings broad cybersecurity expertise, adaptability to changing threats, and enthusiasm for solving complex problems. This position resides in the Defensive Cyber Operation (DCO
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insights from large, heterogeneous, multi-modal data sets, such as those commonly encountered by the national security community. Examples of data of interest include signals, network traffic, multi-modal