STATMOS Logo






<< Career Opportunities

Post-doc in Geostatistics and Global Mortality (Toronto, Canada)

Application Deadline:

Below a post-doc opportunity in geostatistics and global mortality, at the Centre for Global Health Research, Toronto, Canada. Full job posting here: http://www.cghr.org/opportunities/new-opportunities/postdoctoral-researcher-in-geostatistics-and-global-mortality/ and the linked research summary. Deadline for applications: Open until filled.

This position will involve both collaborative research for publication in top-ranked scientific journals and methodological research leading on one or more substantive methodological problems to be published in the Statistics literature. The successful candidate will act as lead author for the methods work, with Dr. Patrick Brown (who is cross-appointed to the Department of Statistical Sciences at the University of Toronto) as collaborator and academic supervisor. Methods to be considered include multivariate age-period-cohort models, geostatistical models, and approximate inference for non-Gaussian high-dimensional hierarchical models. It is intended for the methods developed to be implemented and released in an R package.

The collaborative portion of the position will involve working in an interdisciplinary research team, providing input on statistical issues and carrying out non-standard and complex analyses. The role will require strong computer skills for writing clean and legible R code for carrying out statistical analyses which are well-presented and fully reproducible. Demonstrated ability to be an enthusiastic and self-motivated learner, work well independently and within a team, and be a critical thinker is essential to this position. The successful candidate will gain valuable experience in a growing, high-impact research area while contributing to the improving health of the global population.

Qualifications

– Doctoral degree in Statistics, Biostatistics, or a related area
– Knowledge of statistical methods for correlated data and random effects models (Bayesian inference, non-parametric methods, or automatic differentiation)
– Proficiency with the R statistical programming environment
– Ability to work independently and as part of a team
– Time management skills and ability to meet deadlines are essential
– Excellent oral and written communication skills
– Previous experience in collaborative health research is an asset

How to apply

Please send a cover letter, two-page research statement (see research summary), and CV with references to: cghr@smh.ca. Please quote “Postdoctoral researcher in Geostatistics and Global Mortality” in the subject line. To discuss the position further, contact Patrick Brown at patrick.brown@utoronto.ca.

For website maintenance or other questions, contact: webmaster [at] statmos [dot] washington [dot] edu