Adapting Machine Learning for Army Research
at ORAU Workforce Solutions

Date Posted: 3/23/2019

Opportunity Description

Title of Research Opportunity: Adapting Machine Learning for Army Research and Sustainment Data collected from Army research projects and systems testing is quite varied and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used to extract and predict meaningful information from Army-relevant data. In the course of our research, we will be developing novel data preprocessing and analysis strategies with the dual goals of 1) collaborating with the research and testing communities and 2) advancing the applicability of ML to non-canonical domains. Keywords: neural networks, data science, data analysis, predictive analysis

Opportunity Snapshot

About Us

Grooming future leaders in science and technology requires enhancing the skills, knowledge and experience of workers early in their careers. To that end, ORAU (Oak Ridge Associated Universities) assists in connecting the best and most diverse students, recent graduates, faculty and professionals with world-class fellowships, internships and jobs, whether in national laboratories, research institutions, federal government offices or private sector R&D departments.

ORAU works with agencies such as 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. We work with the Environmental Protection Agency (EPA) to place recent graduates in full-time and part-time jobs in the Office of Research and Development at EPA under the National Student Services Contract. ORAU also works with Center for Medicare and Medicaid Innovation.

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, Data Science, 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, Toxicology, and more.

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