We are seeking applications for a quantitative ecologist with an interest in wildlife disease. Specific duties will depend on the interests and skill level of the successful applicant. Example duties include analyses of mark-recapture data of amphibians and/or prairie dogs in relation to disease status, analyses of genetic data, conducting sensitivity analyses of simulation models, spatial-capture recapture analyses, developing decision support tools (visualization tools in R), optimization of multiple-objective decision problems, writing manuscripts, conducting basic statistical analyses such as logistic regression, sample size calculations, etc., and development of new methodology to address questions of importance in emerging diseases of wildlife.
This is a 12 month student services contract position with additional renewal for up to 2 years (pending available funding); preferred applicants will have a minimum of an M.S. (Ph.D. preferred) and either be currently enrolled in an academic program or have graduated within the past 12 months from the start date of the performance period. Start date will be September 30, 2019 or earlier. Candidates willing to relocate to Madison will receive preference.
Hours and Days: Approximately 35-40 hours/week is preferred. Candidates for part time work of at least 20 hours per week will be consider
Minimum Knowledge and Skills:
- Good organizational and communication skills, including the ability to communicate with experts in other fields such as immunology, veterinary science, genetics and/or microbiology
- Ability to work in a team
- Minimum M.S. degree in wildlife (with substantial statistical experience), statistics, or any other combination of experience and education that provides the applicant with the skills necessary to perform the duties
- Ability to write clearly and concisely
- Ability to work with large data sets
- Ability to code in R is crucial
- Requirement: U.S. citizen with a valid driver’s license and abilty to pass a background check.
Preferred candidate has completed a Ph.D. and should demonstrate a strong interest in statistical ecology. Previous experience with the development of R code, large data sets, manuscript writing and survival estimation, phylogenetic analyses, abundance estimation, simulation modeling, or optimizaton is advantageous.
For questions regarding specifics of the position please contact Robin Russell at email@example.com
Student contractors are not eligible for federal employee health benefits.