Postdoctoral Scholar - Agriculture, Biotechnology, & Natural Resources
- University of Nevada
- Location: Reno, NV
- Job Number: 7073547
- Posting Date: Dec 29, 2020
- Application Deadline: Open Until Filled
Job Description
The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. We ask that you keep in mind the following when completing your application:Required attachments are listed below on the posting. Your application will not be considered without the required attachments.
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Job Description
The University of Nevada, Reno is recruiting a Postdoctoral Scholar to join the Shriver lab in the Dept. of Natural Resources and Environmental Science. This position will conduct research in quantitative plant ecology and ecological forecasting. The position is funded in part by a USDA-NIFA grant to understand and forecast grassland and desert plant productivity dynamics using multi-species population models. This work will be done in collaboration with Peter Adler at Utah State University. The Postdoctoral Scholar will have a great deal of flexibility to pursue additional projects, potential topics include: spatiotemporal plant population modeling, restoration forecasting, and landscape demography. The work will consist primarily of modeling with existing observational and remote sensing datasets, but there will be opportunities for supplementary data collection in the field.
The position is 100% research with a flexible start date; however, preference will be given to candidates who will be able to join before April 1, 2021. The position may last up to two years.
The Postdoctoral Scholar will be part of a growing community of postdocs in the Dept. Natural Resources & Environmental Science and Ecology, Evolution, and Conservation Biology Program, and have many opportunities for professional development including funding to attend meetings or workshops and opportunities to build collaborations with non-academic scientists.
Successful applicants will have experience in either population modeling or Bayesian hierarchical modeling as evidenced in their publication record.
Required Qualifications
Ph.D. in Ecology or related field by time of appointment
Preferred Qualifications
Record of publishing in peer-reviewed literature
Excellent verbal and written communication skills
Interest and experience in quantitative ecology, forecasting, and plant ecology.