This postdoctoral position at the Santa Fe Institute provides a compelling opportunity to work full-time on statistical advances in a dynamic interdisciplinary environment:

While the job ad was written for generalist audiences, the ideal candidate will be a Bayesian statistician with broad applied interests. There will be opportunities to advance methods with high potential for uptake across the social sciences, including methods related to measurement uncertainty, latent response modeling, multiple membership models, unconventional covariance structures, discrete missing data, social network analysis, and location-scale models.

The applicant who accepts this position will be a key contributor to the rich interdisciplinary environment that characterizes the Santa Fe Institute.