Tracking the location and presence of fish and marine mammals is necessary for both scientific study and conservation. The objective of this research is training integrated ML models with images, acoustics and text to answer questions about the diversity and abundance of life below water in monitored regions at scale. The successful applicant will apply contrastive learning, generative models, or other methods of learning with few or no labels. Goals include predicting climate change impacts on commercial fishes and marine mammals, regulatory monitoring of tidal energy, Carbon Dioxide Removal (CDR), and other ocean infrastructure, and modeling climate change mitigation efforts such as reducing fishing or introducing species to new areas.Accepting: PhD studentsExpress your interest in working with Dr. Christopher Whidden.When contacting us about your interest in a particular professor or fellowship, please include your:Research interestsPast research experienceRecent CVDalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.