Postdoc- Grassland Ecology – Colorado/South Dakota

Colorado State University
Ft Collins, CO or Rapid City, SD
Job Category
Post Doctoral Appointments
Last Date to Apply
The Forest and Rangeland Stewardship Department is seeking a post-doc to carry out research on grassland fire ecology. This position will be responsible for implementing and managing a research project investigating fire effects on herbaceous regeneration, specifically focusing on how fire intensity impacts plant survival and re-growth of important grassland plants following simulated fires of different intensities and/or duration. The successful applicant will be required to work closely with the USFS-Rocky Mountain Research Station and within an interdisciplinary research group from multiple agencies (US Forest Service, US Geological Survey, USDA), universities, and NGOs. This project will involve the full research cycle including fieldwork in South Dakota and Wyoming, management of fire and heating trials in the lab, plant dissection in the lab, data analysis and publication of findings. The overall goal of the project is to better understand fire effects in the mixed-grass prairie and sagebrush steppe in order to provide information to stakeholders for use in their decision making. Therefore, oral and written communication of the results to a broad audience will be a focus of this project. The successful applicant will also have professional development opportunities through Colorado State University to help prepare them for their career. The successful applicant will have the option to be stationed in either Rapid City, SD or Fort Collins, CO. We hope to have the position filled by early 2021 so the successful applicant can begin field work in the spring.
Required Qualifications include 1) PhD in grassland ecology, fire ecology, or plant ecophysiology and 2) A valid driver’s license or the ability to obtain a driver’s license or access to a licensed driver by the employment start date. Preferred Qualifications include 1)Experience with plant identification, 2)Experience using environmental sensors and dataloggers, 3) Experience mentoring students and/or supervising employees, 4) Evidence of strong data analytical skills, 5) Experience in plant physiology, ecophysiology and/or plant anatomy, 6) Evidence of potential to develop impactful publications, 7) Evidence of working independently and as part of a team.
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