Applying statistical design of experiments methods
at ORAU Workforce Solutions

Date Posted: 12/23/2018

Opportunity Description

Title of Research Opportunity: Applying statistical design of experiments methods to numerical weather prediction codes, especially those focused at the meso-and mirco-scales. Models of the atmosphere are generally based on the numerical solution of a set of partial differential equations over a small domain. Solvers for these equations have many factors and tunable parameters from which to choose in order to configure a specific model for a problem. Sampling these codes to find combinations of factors and parameters that yield an optimal configuration is a computationally challenging task. This project focuses on using statistical design of experiments and related methods to efficiently explore the configuration of these codes in order to find a robust configuration. Robust is used in the sense that the code produces reasonable forecasts over a wide variety of situations rather than 'perfect' forecasts for one situation. Keywords: ANOVA, Analysis of Variance, Factor Separation, Design of Experiments, DoE, Model Analysis, Simulation Analysis, Simulation, Verification.

Opportunity Snapshot

About Us

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