This position requires an individual who will provide leadership on statistical issues, through collaboration and consultation with engineers and scientists across the laboratory. Areas of application include materials science and engineering, nuclear reactor design, and manufacturing support. Experience or training in some or all of the following areas is desired: linear and nonlinear regression, mixed-effects models, analysis of censored data, variance components estimation, experimental design, and statistical simulation. This position will involve conceiving, developing, and applying statistical techniques to a wide range of technical problems and promoting the understanding and application of modern statistical techniques through appropriate courses for laboratory personnel. Proficiency in R or SAS is highly desirable. Candidates must have excellent written and oral communication skills.
PhD degree in Statistics from an accredited college or university.
PhD degree in Statistics from an accredited college or university with three or more years of relative experience.
Candidate should have a strong interest in using statistical methods to solve practical scientific and engineering problems. Proficiency in one or more statistical programming languages (R, JMP, SAS, etc)
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