The closing date for this job has passed; return to the main list for other jobs

Postdoctoral Researcher in Disease Ecology Modeling

The Department of Biology at Colorado State University seeks an outstanding individual to contribute to research in the lab of Dr. Colleen Webb on various wildlife and livestock disease projects in collaboration with international partners at the Centers for Disease Control and Prevention of the country of Georgia. Other projects in the lab include close collaboration with USDA APHIS Center for Epidemiology and Animal Health (CEAH) and the National Wildlife Research Center (NWRC), US Geological Survey (USGS), and the Colorado Department of Agriculture (CDA). Lab projects have the potential to directly impact management of zoonotic disease risk across a variety of species and disease outbreaks in livestock settings.

The main project will be to develop and implement Bayesian models of species occurrence and zoonotic disease transmission risk from varied surveillance data sources from the countries of Georgia, Armenia, and Azerbaijan. The core responsibilities of the position include data-driven model development for the prediction of zoonotic disease, host species occurrence models, and risk mapping for one or more of seven pathogens (tularemia, plague, Crimean-Congo Hemorrhagic Fever (CCHF), anthrax, brucellosis, leptospirosis, tick-borne encephalitis). This position will also entail generating recommendations to improve surveillance activities related to understanding human risk of zoonotic disease infection.

We seek candidates with strong quantitative skills, proven time and project-management skills, ability to work in a team environment and excellent communication skills. The postdoc will be expected to produce high quality, peer-reviewed publications of results and will have the opportunity to present results at conferences and to stakeholders.
The position is for one year with potential for renewal with satisfactory performance.
Required qualifications: Ph.D. or equivalent by the time of job start in biology, ecology and evolution, statistics, or other appropriate field. Significant experience with quantitative methods.
Preferred qualifications:
• Experience with disease ecology, ecological modeling or advanced statistics.
• Documented ability to bring projects to completion, especially as publications in peer-reviewed journals.
• Excellent quantitative skills, proficiency in programming languages (e.g., R, C++, Matlab)
• Familiarity with diverse data analysis frameworks, especially spatio-temporal dynamic simulation models and/or Bayesian hierarchical models.
• Experience working collaboratively in a group setting.
• Experience working with non-governmental organizations, government agencies, or industry.
• Excellent communication skills communicating progress to a diverse team of researchers.

Colorado State University is committed to creating a university community that values and
supports diversity; individuals who contribute to such diversity are strongly encouraged to apply.
For more information about the department, salary information and general information about postdoctoral requirements in the Biology Department, please visit: https://jobs.colostate.edu/postings/106763

Qualified candidates who are reviewed will receive specific job description details as part of the interview process by the Webb Lab.

Submit a cover letter describing your education, experience, qualifications, and skills specifically
related to the position description that also includes a 1-2 page research statement in a single document, as well as a CV in a separate document. Additionally, provide the names of 3 references, online at: https://jobs.colostate.edu/postings/106763 Incomplete applications will not be considered.

For full consideration, applications must be received by October 24, 2022.

Colorado State University is an EO/EA/AA employer.
Colorado State University conducts background checks on all final candidates.

Type
Postdoc
Institution
Colorado State University
City
FORT COLLINS
Country
United States
Closing date
February 1st, 2023
Posted on
October 1st, 2022 01:05
Last updated
December 1st, 2022 23:46
Share