Artificial Intelligence for Autonomous Systems
at ORAU/ORISE DoD Programs

Date Posted: 11/30/2018

Opportunity Description

Artificial intelligence (AI) and neural networks are expected to play a key role in future Army autonomous systems, both virtual and robotic. Opportunities exist at ARL to advance the application and development of AI for autonomous systems. This includes researching components such as convolutional neural networks (CNNs), recursive neural networks (RNNs), kernel based learners, and auto-encoders. These will be coupled with reinforcement learning and other techniques for incorporation into systems such as autonomous robotic navigation and surveillance, and human-machine interaction with knowledge bases.

Opportunity Snapshot

  • Employee Type: Full-Time
  • Location: Adelphi, MD
  • Opportunity Type: Sales
  • Experience: Not Specified
  • Date Posted: 11/30/2018

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians such as:

The Oak Ridge Institute for Science and Education (ORISE) Program that allow senior scientists, faculty; high school, bachelor’s, masters’ and doctoral students, and recent graduates to enhance their science education experience in projects and activities at our Department of Defense (DOD) and other Government and Private Industry customers’ laboratories and research facilities worldwide.

The U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. Scientists and engineers at 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.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, and more.

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