Networking, Information Management & Decision Supp
at ORAU Workforce Solutions

Date Posted: 6/23/2019

Opportunity Description

Title of Research Opportunity: Research in Networking, Information Management and Decision Support Using Machine Learning Research opportunities are available in networking and decision support technologies investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making. Research will involve one or more of the following areas: • Developing algorithmic frameworks and models for information interaction and network characterization and optimization. Investigating relationship between various system and network architectural layers and relationships between respective protocol capabilities and characteristics, as well as networking analysis and/or decision analytic tools and software. • Researching information retrieval, information dissemination, decision science, information presentation, or human information interaction. • Analyzing, designing, and/or developing network transport protocol/software/middle ware applications across varied communication mediums. • Understanding networked information systems and/or networked devices in distributed configurations that provide decision support data or analytical capabilities. • Generating computationally numerical algorithms for data processing and analysis, using supervised and unsupervised machine learning models and methods, particularly involving network data analysis, and/or decision support methods. • Developing applications for deterministic and stochastic optimization, probability, information theory, and/or data modeling. Experience with analytical tools, such as, MATLAB, R, SAS, or similar, and related programming languages, such as, Python, Java, JavasSript, and/or database/scripting languages, is needed. Applicants are encouraged to contact Dr. Raglin at [Click Here To Join] prior to submitting a research proposal. Keywords: Networking, Transport Protocols, Information Management, Network Retrieval/Dissemination, Information Interaction, Analytics, Decision Science, Optimization, Information Theory, Internet of Things, Machine Learning

Opportunity Snapshot

  • Employee Type: Full-Time
  • Location: Adelphi, MD
  • Opportunity Type: Management
  • Experience: Not Specified
  • Date Posted: 6/23/2019

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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