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  • Consortium Research Fellow, U.S. Army Research Institute for the Behavioral and Social Sciences (ARI), Predictive Analytics & Modeling Unit (PAMU), Ft. Belvoir, VA.

    This Post-Doctoral Research Fellow will assist with identifying, developing, implementing/coding, and validating advanced statistical methods for using Army archival data (and other data sources such as from federal statistics bureaus) to help assess and predict key individual and group-level outcomes (such as attrition and performance).

    Ideal candidates will have the described experience and exhibit the following skills:

  • Supervised and unsupervised learning techniques for high-N or high-dimensional data

  • Natural Language Processing (NLP)

  • Scalable data analysis techniques (with a preference for scalable Bayesian techniques)

  • Bayesian non-parametric models

  • Psychometrics and measurement

  • Longitudinal data analysis methods (e.g., state-space models, survival analysis/multi-state models)

    All candidates will be expected to have the following skills:

  • Managing and working with large data sets (e.g., hundreds of thousands to millions of rows, thousands of variables, knowledge of SQL not required)

  • Familiarity with at least one major platform for statistical computing (e.g., R, Python, Julia), and the ability to code effectively

  • The ability to communicate (e.g., their models and findings/implications) to peers and to non-experts

    Annual salary is based on the salary for a GS-12 Step 1 researcher in the Washington Metropolitan Area