PhD in Computer Vision and Machine Learning for Biodiversity Monitoring at Aarhus University Aarhus University in Denmark

Aarhus University is offering a fully funded PhD position in the field of computer vision and machine learning, specifically focused on biodiversity monitoring using camera trap networks. The project, jointly supervised by Professors Toke Thomas Høye and Serge Belongie, aims to harness the power of AI and deep learning to address key challenges in species recognition and behavioral analysis from camera trap images and videos. The research will leverage recent advances in multi-modal foundation models, domain adaptation, and edge processing to efficiently integrate large-scale biodiversity data and provide rapid feedback to end users.

The successful candidate will work within the Department of Ecoscience and collaborate with a multidisciplinary team of biologists, engineers, and computer scientists. Applicants should have a relevant Master’s degree, strong Python programming skills, and experience with machine learning models such as CNNs or vision transformers.

The position is fully funded according to Danish collective agreements, with a preferred start date of April 1, 2026. The application deadline is January 15, 2026. Interested candidates should apply through the official portal, uploading the project description and all required documents.

For more information, contact the supervisors via the provided emails.