- 40 statistical data analysis and predictive modeling
- 30 statistical quality control and process improvement
- 20 reliability and risk assessment, simulation studies, experimental design and analysis
- 10 opportunities for teaching and research relevant to ongoing activities
Must be currently enrolled in a M.S. or PhD program in Statistics, or closely related field with strong statistical component. Working knowledge of Minitab, SAS, and/or other statistical software packages is preferred. Familiarity with Bayesian methods would be a plus.
