Postdoctoral Research Fellow: Forest Landscape Ecology

Agency
Harvard Forest - Harvard University
Location
Petersham, MA
Job Category
Post Doctoral Appointments
Salary
$54,840
Last Date to Apply
02/01/2023
Website
https://academicpositions.harvard.edu/postings/11919
Description
Review of applications will begin on February 1 2023 and will continue until an excellent candidate is found. The Harvard Forest invites applications for a post-doctoral research fellow focused on analysis of Northern New England forest landscape. The project seeks to understand the impacts of alternative ownership and management structures on forest conditions and evaluate alternative options for future management. The successful candidate will be a member of Dr. Jonathan Thompson’s Landscape Ecology Lab and also work closely with Dr. Valerie Pasquarella. The research is funded, in part, by a Dynamics of Integrated Social Ecological Systems grant and, in part, by the Harvest Forest Long Term Ecological Research (LTER) program. The candidate will conduct retrospective forest disturbance analyses using the Landsat archive within Google Earth Engine and project alternative forest futures using an existing landscape modeling framework. The candidate should be interested in quantifying opportunities and risks associated with the use of forests in climate change mitigation. While there are some sideboards on the research topics, there is also substantial flexibility regarding the exact specification of questions and methods.
Qualifications
Required Qualifications: Ph.D. (awarded by start date) in ecology, forestry, geography, or related field; Evidence of strong scholarship, including first-authored peer-reviewed publication(s); Proven ability to plan and conduct research projects from beginning to end; Interest in translating and communicating research for land-use policy. Preferred Experience: Conducting complex spatial analyses (e.g., GIS, remote sensing, spatial statistics); experience with Google Earth Engine and/or using landscape and/or earth system models (LANDIS-II, CLM); analysis of large datasets (e.g., FIA, PADUS, Census, NWOS); skilled at scripting within the R and/or Python programming languages.
Contact Person
Jonathan Thompson
Contact eMail
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