Postdoctoral Position in AI-Based Quantification of Biofouling Community Growth and Diversity St. Francis Xavier University in Canada

St. Francis Xavier University in Canada is advertising a three-year postdoctoral position focused on AI-based quantification of biofouling community growth and diversity.

The project addresses a key challenge in marine macrofouling research: the labor-intensive analysis of images and video used to track invasive species, evaluate antifouling coatings, and monitor growth on aquaculture equipment. The goal is to develop modern multimodal AI workflows that can automatically extract both the identity of organisms (species) and their abundance/coverage from biofouling image data.

The work sits at the intersection of computer science, machine learning, machine vision, image segmentation, and biological image analysis, with a strong applied component in marine biology and environmental science. The post notes that while experience with marine biofouling is not required, it would be an asset alongside image analysis experience.

Eligibility highlights: applicants should have a PhD or be about to receive one, and should have expertise in machine learning, machine vision, AI-based image analysis, and/or image segmentation. The announcement also asks applicants to indicate nationality and provide transcripts, a CV, a cover letter, and three references.

How to apply: email Russell Wyeth at [email protected] with the requested documents. Applications will begin to be considered on 2026-05-04.