Plan and conduct evaluative research (e.g. card sort, tree testing, usability, heuristics evaluations) and support generative research (techniques to help define problem space, such as contextual inquiry, ethnography, data mining) efforts for defined products or small program areas to build deep user understanding and empathy.
Work collaboratively with a team of scientists, software engineers, and annotators/proofreaders to implement an effective strategy for next generation high-throughput neuronal morphology identification and reconstruction pipeline.
Leverage technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem.
Conduct research and prepare sections of NEPA documents as requested. This Individual will also be responsible for training other employees on the Help Desk tools and for the over all quality of support provided to the NAVAIR test planners.
As part of the team, you work all phases of cutting edge cyber R&D efforts. You bring deep expertise in reverse engineering, vulnerability and security research to design, prototype, and perform experimental analysis of end-to-end solutions for Cyber Security and Cyber Warfare.
n this role, you will be working with established programmatic and quantitative methods, find patterns and relationships in large data sets; conduct mathematical, statistical or other data driven problem solving analysis to identify business operations or intelligence questions by internal and external customers.
Looking for an individual with technical and data science expertise who can assist the Customer in building a program to analyze and make sense of rich unstructured text datasets in response to new requirements.
The Adaptive Reasoning Technologies (ART) directorate is a cutting-edge, multidisciplinary research and engineering organization that is BAE Systems lead for invention and application of innovative machine learning, control, and optimization approaches to learn patterns of behavior from a wide range of data sources, including real-time sensor feeds.
The image scientist will collaborate with and provide scientific analysis support to imagery/geospatial analysts, who will leverage the value-added support to sharpen their assessments of current intelligence issues.
Knowledge in one or more of the following subject areas are desired: design theory, geometric modeling, numerical analysis, topology, optimization, category theory, data modeling and automated reasoning.
Work collaboratively with a team of scientists, software engineers, and annotators/proofreaders to implement an effective strategy for next generation high-throughput neuronal morphology identification and reconstruction.