Excellent candidates are sought in strong growth areas in the core of modern statistical theory and methods. A typical candidate will be an energetic and talented researcher with a nationally established record or strong potential for such, working in mathematical statistics and/or statistical-theory-driven methodology. In both cases, work should be grounded in scientific applications, either directly or with clear implications for application. Potential areas of application include, but are not limited to, the environmental sciences and climate change, genetic/genomic data analysis, image analysis, precision medicine and health outcomes, physics and astronomy, and the agricultural sciences. All exceptional candidates in the statistical sciences and probability, at all career levels, are encouraged to apply. Successful candidates will have established, or have demonstrated strong potential for an externally funded research program that contributes to the knowledge base in the statistical sciences of relevant areas, with publications in top-tier statistics journals.
Doctorate -Statistics or closely related field.
A doctorate in statistics or in a closely allied discipline is required. In addition to a strong and compelling research program, candidates are expected to provide evidence or potential for high quality teaching in undergraduate and graduate level statistics courses. For senior applicants, evidence of robust external funding and graduate training record are essential.
For senior applicants, evidence of engagement with national or international disciplinary organizations, and connections with industrial, government, and/or other professional sectors, are desirable.