USNH Employees should apply within Workday through the Jobs Hub app The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how these responses are
mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is funded by NASA. The
appointment is for one year initially and may be renewed depending on funding availability and satisfactory performance. Duties/Responsibilities Conduct novel research to understand how terrestrial ecosystems respond to climate extremes (e.g., drought, heatwaves) and disturbances, and how these responses are mediated by biodiversity and management, using state-of-the-art ground-based and satellite observations as
well as machine learning/deep learning methods. Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on publishing high-quality and high-impact papers. Requirements Minimum Acceptable Education & Experience: A Ph.D. in areas such as ecology, remote sensing, atmospheric sciences/meteorology, biogeosciences, forestry/natural resources, environmental science, or a related
field is required. Knowledge, Skills & Abilities: Applicants should be enthusiastic, creative, and highly motivated. Ideal candidates should have one or more of the following experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in-situ observations. Strong
communication, writing, and programming skills and publication record are highly desirable. Applicant Instructions Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application: Resume/CV Cover Letter Contact Information for 3 Professional References Applications that are missing any of the required items may not move forward for
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