The AukLab-Audio project represents a cutting-edge, long-term data collection effort at the Stora Karlsö Auk Lab, a unique cliff-edge observatory for common guillemots (Uria aalge) in the Baltic Sea. This initiative is generating an unprecedented multi-channel, multi-modal dataset, featuring continuous, synchronized audio recordings from an array of high-quality DPA microphones and camera-integrated microphones, alongside extensive video footage, weather data, and other sensor information. The richness of this dataset opens up unparalleled opportunities for research at the intersection of bioacoustics, machine learning, and marine ecology.
We are excited to offer four interconnected Master’s thesis projects designed to explore different facets of this unique dataset. These projects aim to foster a collaborative research environment, where students will contribute distinct expertise towards a unified goal: to deepen our understanding of guillemot vocal behavior, develop novel computational analysis techniques for complex acoustic scenes, and derive new ecological insights. A potential research field trip to the Stora Karlsö research site may be organized to provide students with first-hand experience of the data collection environment and the study species.