Postdoc in Quantitative Ecology
- Colorado State University
- Location: Fort Collins, CO
- Job Number: 7081757
- Posting Date: Aug 2, 2021
- Application Deadline: Open Until Filled
Job DescriptionDescription of Work Unit
The Colorado Natural Heritage Program (CNHP) tracks and ranks Colorado’s rare and imperiled species and habitats, and provides information and expertise on these topics to promote the conservation of Colorado’s valuable biological resources. Data maintained in the CNHP database are an integral part of ongoing research at CSU and reflect the observations of many scientists, institutions and our current state of knowledge. These data are acquired from various sources, with varying levels of accuracy, and are continually being updated and revised. CNHP also offers a wide range of related services including biological monitoring, research, mapping, and conservation planning services.
The postdoc will be co-supervised by Davidson at CSU and Shoemaker at UNR. The postdoc will obtain NDVI data layers necessary to calculate livestock forage production over time and will compile additional already-collected data on soil health, biodiversity, livestock production, prairie dog colonies, climate, and management approaches from Thunder Basin National Grassland, Central Plains Experimental Range and other study locations within the black-tailed prairie dog range. Will work closely with PIs Hartway, Shoemaker, and Davidson on statistical and simulation model development. Prepare peer-reviewed manuscripts with PIs, and present results at scientific conferences.
Required Job Qualifications
* The individual must have a PhD in ecology/biology, statistics, or closely related field by the start of employment.
* Demonstrated experience publishing scientific papers in quantitative ecology.
* Must have proficiency with programming, spatial analysis and statistics in GIS and R, and be able to develop and implement hierarchical statistical models using Bayesian and/or frequentist methods.
Preferred Job Qualifications
* Experience with population demographic models
* Strong background in spatially explicit analysis
* Strong quantitative and analytical skills
* Experience / ability to communicate and collaborate well with partners on research.
Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department’s commitment to diversity and inclusion.
Job Duty Category Analysis
Calculate livestock forage production over time from NDVI
Compile, manage and synthesize already-collected data on soil health, biodiversity, livestock production, prairie dog colonies, climate, and management approaches
Develop statistical and simulation models
Develop a web-based, interactive decision support tool
Prepare peer-reviewed manuscripts with PIs
Present project results at scientific conferences
Percentage Of Time 60
Job Duty Category Project Management
Organize PI meetings
Facilitate project progress and meeting timelines
Coordinate with PIs and other team members
Manage travel to UNR
Percentage Of Time 10
Job Duty Category Research
Obtain NDVI data layers necessary to calculate livestock forage production over time
Compile and synthesize already-collected data on soil health, biodiversity, livestock production, prairie dog colonies, climate, and management approaches
Prepare new research proposals
Percentage Of Time 30
Special Instructions to Applicants
Application materials consist of the following:
Three professional references
References will not be contacted without prior notification of candidates.
Conditions of Employment Pre-employment Criminal Background Check (required for new hires)
Search Contact Ana.Davidson@colostate.edu
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Background Check Policy Statement
Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.