Natural Language Processing on Army Operational Data

About the Research

Natural Language Processing expert to research applications on Army operational data and provide expert advice to Army acquisition programs.

About ARD

ARL’s Army Research Directorate focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through laboratory’s 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

Qualifications

- Citizenship: U.S. Citizen Only - Degree: Associate's Degree, Bachelor's Degree, Master's Degree, or Doctoral Degree. - Academic Level(s): Any academic level. - Discipline(s): - Business (11 ) - Chemistry and Materials Sciences (12 ) - Communications and Graphics Design (6 ) - Computer, Information, and Data Sciences (17 ) - Earth and Geosciences (21 ) - Engineering (27 ) - Environmental and Marine Sciences (14 ) - Life Health and Medical Sciences (48 ) - Mathematics and Statistics (11 ) - Other Non-Science & Engineering (13 ) - Physics (16 ) - Science & Engineering-related (2 ) - Social and Behavioral Sciences (29 )