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University of California Los Angeles, Cavanaugh Lab

Position ID:
University of California Los Angeles-Cavanaugh Lab-POSTDOC [#24757]
Position Title: 
Postdoc position in remote sensing of kelp dynamics
Position Type:
Postdoctoral
Position Location:
Los Angeles, California 90008, United States of America
Subject Areas: 
Marine Sciences
Computer Science / Artificial intelligence and machine learning
Ecology
GIS
Salary Range:
$60,000-$75,000
Appl Deadline:
2024/05/26 11:59PMhelp popup (posted 2023/04/26, listed until 2024/05/26)
Position Description:
   

*** the listing date or deadline for this position has passed. ***
* this map is a best-effort approximation. Open in Google Maps directly.

We are seeking a postdoctoral researcher to join a project that is developing new approaches for high resolution mapping and monitoring of kelp forests across the State of California. This project is supported by the California Ocean Protection Council. We will be using 3m resolution PlanetScope satellite imagery to create seasonal maps of kelp canopy across the entire State of California from 2016-2023. We are exploring deep learning classification approaches such as artificial neural networks to automate the classification process. This dataset will be used to examine trends in kelp abundance across the State and assess the response of kelp forests to climate change and extreme events such as marine heatwaves. We will also use the data to prioritize and monitor kelp restoration projects. To apply: please email the following to kcavanaugh@geog.ucla.edu with the subject line “Kelp remote sensing postdoc application”: (1) cover letter, (2) CV, (3) contact information for 3 references, (4) a writing sample, such as published or draft manuscript

We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please see the job description above on how to apply.
Contact: Kyle Cavanaugh, 7034894671
Email: email address
Postal Mail:
1255 Bunche Hall
University of California, Los Angeles, CA
Web Page: www.geog.ucla.edu