Master of Forest Science (MFS) at the Yale School of the Environment Studying Western Forests – New Haven, CT and Alamosa, CO

Agency
Yale School of the Environment
Location
Fort Garland, CO and New Haven, CT
Job Category
Graduate Assistantships
Salary
Graduate stipend and full tuition assistance
Start Date
05/01/2022
Last Date to Apply
10/11/2021
Website
https://environment.yale.edu/academics/degrees/mfs-mesc
Description
A two-year graduate assistantship is available with the Yale School of the Environment (YSE). We are seeking a graduate student to join our Forestry and Rangeland Research team to study alpine forest regeneration and stand dynamics in southern Colorado. The successful candidate will collect data on alpine forests dominated by Picea engelmannii to understand age class distribution and disturbance history. Additionally, the successful candidate will quantify Populus tremuloides regeneration and associated species abundance inside and outside slash enclosures to determine the impact of this type of browse protection on forest stand development. This research is part of a larger research collaboration between YSE and on-the-ground practitioners in Colorado to increase knowledge and understanding of western landscapes, ecological processes, and effective land management strategies for fire mitigation and conservation in the West. Fieldwork will take place during summer 2022 and 2023 in south central Colorado. Academic classes will begin fall 2022 in New Haven, CT at the Yale School of the Environment. This two-year master’s assistantship will provide a stipend, full tuition assistance, and health insurance. Interested candidates should email a 1-page cover letter, CV, and the names of 3 references to William.Lauenroth@yale.edu by October 11, 2021.
Qualifications
• Bachelor of Science degree in forestry, forest science, forest ecology or natural resource management, ecology, biological sciences, environmental biology, or related field • A valid driver’s license • Fieldwork experience in remote settings (desired) • Research and data analysis experience required. Experience with R important. • Strong verbal and written communication skills • Enthusiasm and interest for the research topic and a desire to work collaboratively
Contact Person
Dr. William Lauenroth
Contact eMail
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