High Resolution Remote Sensing for Hawaii Decision Support; Center for Global Discovery and Conservation Science

Job Title: 
High Resolution Remote Sensing for Hawaii Decision Support
Job Location: 
Hilo, Hawai'i
Description: 

Overview:

A postdoctoral research position is now open for a quantitative 3D hyperspectral remote sensing scientist interested in applications of natural resource and land management, conservation planning, and coastal zone processes.

We seek a postdoctoral researcher who can use fused remote sensing data from the ASU Global Airborne Observatory, which includes hyperspectral, lidar, and high-resolution camera imaging, to lead an effort to discover and conserve biological diversity, water resources, and carbon stocks throughout all ecosystems of the big island of Hawaiʻi.  The island of Hawaiʻi contains more than two-thirds of the bioclimates of the world and thus presents an unparalleled million-hectare outdoor laboratory for studies of human-environment interactions.  The outcomes of the remote sensing studies will be directly applied in a quantitative decision-support system co-operated by multiple collaborating organizations.  The decision support outputs will be incorporated into county and state level planning and activities for sustainability improvements throughout Hawaiʻi Island as a pathfinding for expansion across the State of Hawaiʻi and the Pacific region overall.

The position will be funded by the ASU Center for Global Discovery and Conservation Science (GDCS) and based at the GDCS-Hawaii unit in Hilo, Hawaiʻi. GDCS leads spatially-explicit scientific and technological research focused on mitigating and adapting to global environmental change, starting in the Hawaiian Islands.

The successful candidate will work closely with researchers including Greg Asner and Robin Martin (ASU-GDCS), Christian Giardina Flint R. Hughes, Susan Cordell (US Forest Service), and a network of collaborators working from community to state levels. The candidate will interact with postdoctoral researchers, field technicians, graduate students and undergraduate research assistants as part of daily activities related to the project.

 

Job duties include:

  • Remote sensing analysis of Global Airborne Observatory hyperspectral, lidar and high-resolution camera data using machine learning and deep learning approaches.
  • Development of mapping products for the island of Hawaiʻi to include biodiversity, water, carbon and infrastructural resources. (Applications training will be provided)
  • Active coordination and collaboration with project personnel from multiple organizations.
  • Development of written and oral reports to partner institutions.
  • Peer-reviewed publishing and presentations at national and international science conferences.

Minimum qualifications:

  • A Ph.D. in remote sensing and mapping with strong background in hyperspectral (most important) and lidar (preferred addition) technologies.
  • Mastery of computer programming for remote sensing in Python, and secondarily in R.
  • Willingness to participate in field campaigns to verify and improve remote sensing products.
  • Strong English writing skills for peer-reviewed publications.
  • Demonstrated experience working with diverse collaborators in a working group environment

Funding is available for up to two years, renewable annually. This position is based in Hilo, Hawaiʻi.  Interested candidates should send a cover letter, curriculum vitae, and contact information for two references to GDCS Assistant Director Andrea Cottrell: //gdcs.asu.edu/andrea.cottrell [at] asu.edu">andrea.cottrell [at] asu.edu.  Review of applications will begin September 20, 2021 and continue until the position is filled. 

Please note that all jobs are automatically removed once the application deadline passes. Jobs without a deadline are automatically removed after 30 days.