Postdoctoral Research Associate W.A. Franke College of Forestry and Conservation

Profile

The
University of Montana
invites applications for a
Postdoctoral Research Associate
in the
W.A. Franke College of Forestry and Conservation
. This position will be expected to expand and develop novel statistical models for estimating demographic rates from camera data. The Postdoctoral Research Associate will conduct analyses, write analysis code, prepare manuscripts for publications, prepare reports for project partners, and interact with multiple agencies. The Postdoctoral Research Associate will be expected to work independently and communicate effectively. Additionally, they will be expected to travel to conferences and to visit colleagues as public health conditions allow. The Postdoctoral Research Associate manages the camera analysis research required for the grant funding, but will not supervise or manage classified staff.
Upon completion of training, the incumbent will have developed an understanding of camera trapping data, models, and analysis, and understanding of image analysis software and modeling.
**MEMBERS ONLY**SIGN UP NOW***. is an Affirmative Action/Equal Opportunity employer and has a strong institutional commitment to the principle of diversity in all areas. In that spirit, we are particularly interested in receiving applications from a broad spectrum of qualified people who would assist the University in demonstrating its five priorities for action
: Place student success at the center of all we do; drive excellence and innovation in teaching, learning, and research; embody the principle of “mission first, people always; partner with place; and proudly tell the UM story.
Position Details
Position is full-time, 1.0 FTE, Letter of Appointment and includes a comprehensive and competitive benefits package
including Insurance package, mandatory retirement plan, partial tuition waiver, and wellness program.
Salary for this position is $60,000 per year commensurate with qualifications.
Required Qualifications
Ph.D. in statistics, wildlife biology, ecology, or related field.
Understanding of the mathematical theory likelihood and Bayesian statistics.
Experience coding in R, matlab, or python.
Experience in implementing Markov chain Monte Carlo algorithms.
Preferred Qualifications
Demonstrated record of scientific publication.
Experience with tidyverse programming in R.
Experience with Shiny.
About UM
and the W.A. Franke College of Forestry and Conservation
**MEMBERS ONLY**SIGN UP NOW***. is flagship, research institution with more than 10,000 undergraduate and graduate students. It is located in Missoula, a culturally vibrant community of about 75,000, surrounded by mountains and three rivers converge. Abundant recreational opportunities in surrounding state and national forests and nearby Glacier National Park and Yellowstone National Park complement a thriving intellectual atmosphere.
The mission of the W.A. Franke College of Forestry and Conservation is to advance research and education that fosters sustainability and empowers a holistic understanding of social-ecological systems.
To learn more about **MEMBERS ONLY**SIGN UP NOW***., please visit the links below.
University of Montana
Video: Mission First, People Always
UM on YouTube
Criminal Background Investigation is required prior to Offer of Employment.
In accordance with University policy, finalists for this position will be subject to criminal background investigations.
ADA/EOE/AA/Veteran's Preference.
Reasonable accommodations are provided in the hiring process for persons with disabilities. For example, this material is available in alternative format upon request. As an Equal Opportunity/Affirmative Action employer, we encourage applications from minorities, veterans, and women. Qualified candidates may request veterans’ or disabilities preference in accordance with state law.
References
*References not listed on the application materials may be contacted; notice may be provided to the applicant.
Testing
Individual hiring departments at UM may elect to administer pre-employment tests, which are relevant to essential job functions.
E mployment Eligibility.
All New Employees must be eligible and show employment eligibility verification by the first date of employment at UM, as legally required (e.g., Form I-9).

Company info

Sign Up Now - EducationCrossing.com