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Camille Pagniello

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Postdoc in underwater acoustics, AI/machine learning, computer vision, and marine ecology University of Hawai'i at Manoa in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

University of Hawaii at Manoa

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Keywords

Computer Science
Environmental Science
Biology
Computer Vision
Marine Biology
Localization
Text Classification
Multimodal Analysis
Methodology Development
Density Estimation
Physics
ML

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About this position

Postdoctoral opportunity coming soon at the University of Hawaiʻi at Mānoa in the Marine Innovation Lab for Leading-edge Oceanography (MILLO), Department of Ocean and Resources Engineering.

This is a postdoc position centered on underwater acoustics, AI/machine learning, computer vision, and marine ecology. The project will use a large existing California kelp forest dataset with multi-hydrophone acoustic array recordings and paired underwater imagery. Research directions include biological sound detection, classification, localization, tracking, density estimation, multimodal acoustic–imagery analysis, and human-in-the-loop AI annotation.

The role is ideal for someone who enjoys methods development, tackling messy scientific problems, mentoring undergraduate and graduate researchers, and contributing to a collaborative research group. The position will be based on-site in Honolulu, Hawaiʻi, with a start date no later than January 1, 2027.

No application link or deadline is provided yet; the full posting and application details are expected soon.

Funding details

Available

What's required

The post seeks a postdoctoral researcher with strong interest in building new methods and working through messy scientific problems. Preference is given to someone who enjoys mentoring undergraduate and graduate researchers and contributing actively to a collaborative research group. The role is methods-development focused and involves underwater acoustics, AI/machine learning, computer vision, and marine ecology.

How to apply

Watch for the full posting and application details, which will be shared soon. The position is expected to start no later than January 1, 2027.

More information can be found here

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