Doctoral Research Assistant - Chronic Wasting Disease Modeling in Deer

Description: The Department of Fisheries and Wildlife at Michigan State 
University invites applications for the position of Doctoral Research 
Assistant. The intent of this position is to understand factors influencing 
transmission of Chronic Wasting Disease (CWD) in white-tailed deer. The project 
will draw on field data from GPS-collared deer and deer removal efforts to 
evaluate risk of disease spread and efficacy of management actions to control 
CWD on Michigan landscapes. The Doctoral Research Assistant will work as part 
of a team of doctoral students, postdoctoral research associates, faculty, and 
biologists with the Michigan Department of Natural Resources. The project has 
five years of financial support.

Program Support: Michigan State University Department of Fisheries and Wildlife 
is one of the largest programs of its kind, with 45 core faculty 
(http://fw.msu.edu/). The Department hosts the Boone and Crockett Quantitative 
Wildlife Center (http://bcqwc.org/), whose mission is to promote wildlife 
conservation by applying mathematics, statistics, and computer modeling to 
major challenges facing wildlife management and conservation policy.

Qualifications: Applicants must have a Master's Degree in wildlife ecology or a 
related field, a strong aptitude for quantitative analysis and modeling, and 
excellent communication skills. Preference will be given to candidates with a 
record of experience working with government wildlife agencies.

Salary and Start Date: $22,000, tuition, and health benefits.

Applications: Submit applications to the Departmental Research Administrator, 
Dr. Rose Stewart (mailto:[email protected]), with the subject line "CWD Modeling 
in Deer".  A single PDF file should be submitted, including:  a letter of 
intent, CV, copies of undergraduate and graduate transcripts, GRE scores, and a 
list of three references. Review of applications will begin February 1, 2017 
and continue until the position is filled.

Reply via email to