Post-Doctoral Research Fellowship in AI, Remote Sensing & Quantitative Conservation Ecology

About the role

The Marine Conservation Innovation Group and the Elizabeth Madin Laboratory at the University of Hawai‘i at Mānoa’s Hawai‘i Institute of Marine Biology seek a postdoctoral fellow specializing in quantitative conservation ecology, with a focus on geospatial and machine learning approaches.

Responsibilities

• Design and lead research investigating human impacts on coral reefs using new and emerging tools.
• Apply novel machine learning algorithms for automated detection and measurement of reef halos from high-resolution satellite imagery.
• Develop and execute your own research questions related to coral reef science and conservation.
• Mentor graduate students and interns.

Requirements

• PhD in Ecology, Environmental Science, or a related field.
• Experience with machine learning and geospatial analysis.
• Strong publication record in peer-reviewed journals.
• Excellent communication and collaboration skills.

Qualifications

• Experience with coral reef ecosystems.
• Interest in marine conservation and policy.
• Ability to work independently and as part of a team.

Skills

• Geospatial analysis.
• Machine learning algorithms.
• Remote sensing techniques.
• Collaborative research.

Benefits

• Family-friendly, flexible work environment.
• Encouragement of work-life balance.

Pay

$75,000 - $85,000 / year

Schedule

Flexible, but ideally no later than September 2026

Benefits

• Family-friendly, flexible work environment.
• Encouragement of work-life balance.

Application

Applications accepted until July 31, 2026. Apply at this link.

Contact

For questions, contact PI Elizabeth Madin at madin@hawaii.edu.