Post-Doctoral Research Fellowship in AI, Remote Sensing & Quantitative Conservation Ecology
Kapolei, Honolulu County, Hawaii, 96709, USA
Listed on 2026-07-14
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Research/Development
Data Scientist, Research Scientist, Postdoctoral Research Fellow, Biology
Overview
The Marine Conservation Innovation Group (https://(Use the "Apply for this Job" box below).) and the Elizabeth Madin Laboratory () at the University of Hawai‘i at Mānoa’s Hawai‘i Institute of Marine Biology (https://) are seeking to recruit a postdoctoral fellow in quantitative conservation ecology, with emphasis on geospatial and machine learning approaches. The position is funded by two recent private philanthropic awards focused on decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health.
The successful candidate will design and lead research investigating human impacts on coral reefs using new and emerging tools to rapidly advance coral reef science and conservation.
The postdoc will take a leadership role in: (1) the application of novel machine learning algorithms for automated detection and measurement of reef halos from high-resolution satellite imagery; and (2) developing/executing their own broadly-related research questions. Additionally, the postdoc will be actively engaged in mentoring graduate students/interns and possibly teaching graduate courses.
Location and EnvironmentHIMB provides unparalleled research opportunities due to its location on Moku o Lo‘e (Coconut Island), surrounded by coral reefs in Kāne‘ohe Bay on the windward side of O‘ahu (~24 km from the main campus in Mānoa). The Marine Conservation Innovation Group offers a supportive and stimulating research environment with a community of collegial scientists committed to informing marine policy, scientific outreach, open science, and diversity in STEM.
A family-friendly, flexible work environment with encouraged work–life balance is provided.
Salary
: $75,000 - $85,000 / year
Duration
:
Two years initially, with the possibility of renewal pending performance and funding availability
Application due date
:
July 31, 2026
Position start date
:
Flexible, but ideally no later than September 2026
Application link
: (search job # 226387)
Questions
: PI Elizabeth Madin (madin)
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