Senior Research Associate II

What you'll do

• Deploy underwater image systems on fisheries-independent surveys to collect video data.
• Develop and implement AI and machine learning pipelines to process large datasets.
• Estimate indices of fish abundance from processed underwater video footage.
• Conduct research on techniques to detect, track, and classify fish in videos.
• Lead the curation of annotation libraries for model training and evaluation.
• Utilize VIAME software tools and other open-source AI/ML methodologies.
• Create implementation plans and contribute to reports and peer-reviewed manuscripts.

What we're looking for

• Must have a master's degree or higher in a field related to biological sciences.
• Must have at least one year of work-related experience in fisheries-independent surveys.
• Must have experience researching the development and implementation of AI/ML methodologies to detect, track, and classify fish in underwater video data.
• Must have previous experience working with VIAME software or other open source software.
• Must possess demonstrated organizational and communication skills.
• Must be able to work as part of a collaborative team while supporting a culture of respect, inclusivity, and cooperation.