Post Doctoral Collaborator in Remote Sensing of Forests

Agency
University of Florida
Location
Gainesville, FL
Job Category
Post Doctoral Appointments
Salary
51,000 annually plus cost of living increases
Start Date
06/01/2022
Last Date to Apply
03/14/2022
Website
https://go.ufl.edu/ip9h26t
Description
We are seeking a collaborative researcher to join our team. We are seeking someone who wants to combine a passion for forests, forest health, and mad skills in remote sensing. Big bonus points for experience in AI/Machine Learning approaches to signal recovery from lidar (ALS, UAV-lidar, and GEDI) and image spectroscopy, particularly hyperspectral remotely sensed data. The project is an NSF-funded position (up to 4 years of funding, starting at $51,000 with a cost-of-living increase annually) to improve how well we can detect tree health and mortality across spatial and temporal scales. We have tons of ground truth data, high resolution lidar and hyperspectral imagery, intermediate level lidar and hyperspectral, and ultimately satellite-based products to tease out the signals of forest/tree health. The position will be based at the University of Florida and supervised by Dr. Daniel Johnson, with close collaborations with Drs. Eben Broadbent, Carlos Silva, Krista Andersen-Teixeira, and Jim Lutz. The position will begin in late spring (May or June) of 2022. Please qustions to Daniel Johnson (johnson.daniel@ufl.edu) with the subject heading ‘Post-doctoral Researcher Position’. Full consideration will be given to applications received by March 14th,2022 but the position will remain open until filled.
Qualifications
Demonstrated mastery of remote sensing techniques. Big bonus points for experience in AI/Machine Learning approaches to signal recovery from lidar (ALS, UAV-lidar, and GEDI) and image spectroscopy, particularly hyperspectral remotely sensed data. Interested in macroecology and forest health.
Contact Person
Daniel J. Johnson
Contact eMail
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