Postdoctoral Research Associate

University of New Hampshire
1d$55,000

About The Position

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.

Requirements

  • 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.
  • Applicants should be enthusiastic, creative, and highly motivated.
  • Strong communication, writing, and programming skills and publication record are highly desirable.

Nice To Haves

  • 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.

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.
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