Post-Doc Research Associate

University of North Carolina at Chapel Hill • Chapel Hill, NC

181d • Remote

About The Position

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities and is among the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.

Requirements

• A PhD degree with an emphasis on remote sensing.
• Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data.
• Sound statistical skills and use of Machine Learning/Geospatial AI tools for data analysis.
• Computer programming skills for remotely sensed data analysis.
• Sound knowledge of remote sensing physics.
• Experience working with ArcGIS Pro and Google Earth Engine.

Nice To Haves

• Relevant publications in the respective fields.

Responsibilities

• Characterize forest canopy structure, including canopy height, tree crown size, leaf area index and aboveground biomass, using multiple sources of remotely sensed data.
• Work closely with another post-doc specializing in ecosystem modeling.
• Validate remotely sensing and ecosystem modeling products with ground observed data.
• Reconcile remotely sensed data carbon storage with ecosystem model estimated carbon storage for the same locations.

Benefits

• Comprehensive medical and vision coverage.
• Paid leave.
• Benefits and services that support professional development.
• Healthy work/life balance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree