Postdoctoral Research Associate Statistical Modeling of Outbreak Risk and Biodiversity

Applications are invited for a Post Doctoral Research Associate in the Statistical Modeling of Outbreak Risk and Biodiversity. The successful candidate will build statistical models capturing how large-scale environmental and socioeconomic factors and affect disease dynamics and large-scale patterns of biodiversity. Knowledge of statistical modeling, machine learning (such as boosted regression trees, ridge regression), GIS, proficiency with R and experience either with macroecological analyses or statistical analyses of disease dynamics are required. Additional skills such as knowledge of disease· ecology, economic or biodiversity analyses, mechanistic mathematical modelling or phylogenetic comparative methods are welcome but not essential.

Required qualifications are a Ph.D. in ecology, evolutionary biology, statistics, epidemiology or closely related fields. Candidates with a past record of publication in disease ecology, epidemiology or macroecology will be given preference. Candidates must have excellent English writing and verbal communication skills, as well as an established record of productivity (i.e., at least one previous peer reviewed publication). The positions is available immediately and will remain open until filled. The position will initially have a duration of one year, with possibility of extension to a second year depending on satisfactory performance and funding availability. Compensation will include $54,000 for 12 months of salary, health insurance and other benefits.

To apply, please submit a cover letter addressing how the candidate's expertise meets the position requirements, a CV, one representative publication, and contact info (phone and email) for three references to Patrick Stephens (patrick.stephens@okstate.edu). Please include your name and the name of the position (e.g., "Application for Statistical Modeling of Outbreak Risk: LASTNAME"). Please send all inquiries to Patrick Stephens at (patrick.stephens@okstate.edu). Review of applications is underway and will continue until a suitable candidate is found. We value the diversity of perspectives that a team made up of individuals with varied backgrounds will possess and encourage applications from members of groups underrepresented in STEM.