Current PhD/job opportunities can be found here

Our research is centred around using machine learning methods to understand how marine biodiversity and ecosystem functions change in time and space due to natural, human and climate-driven changes. We study deep sea habitats, such a cold-water coral reefs, sponge grounds and coral gardens, but also shallow coastal habitats such as seagrass meadows. To understand which species are associated with these habitats, we use video, image and passive acoustic (soundscape) datasets.