Leiden University’s LIACS invites applications for a Postdoctoral Researcher in Machine Learning for Wildlife Audio to join Dr. Dan Stowell’s team at the intersection of ML and bioacoustics. Topics include low-footprint ML, acoustic signal processing with ML, active learning, representation learning, sequence analysis, and category discovery with ties to Naturalis Biodiversity Centre. The role involves independent research, group meetings, supervising students, presenting at conferences, and building collaborations. For best results, highlight cross-disciplinary work and any collaboration with biodiversity initiatives, and show practical impact in wildlife audio. Requirements: PhD in CS, acoustics, or signal processing; strong ML or audio publications; Python and ML framework skills; interest in biodiversity; excellent English and teamwork. Apply online with a motivation letter, concise research statement, full CV with publication links, and two referees by 14 September 2026.
We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross-disciplinary domain.
Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma computing.
The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science (LIACS). Stowell's team also has regular close collaboration with researchers in Naturalis Biodiversity Centre, which is the Dutch national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team.
The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and looking beyond the borders of their own discipline; their aim is to benefit science, and to contribute to addressing the major societal challenges of the future.
The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2700 staff and almost 6000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see www.universiteitleiden.nl/en/science and www.universiteitleiden.nl/en/working-at
The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, see https://liacs.leidenuniv.nl/
Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent.
Please submit your application online via the blue button in the vacancy. Please ensure that you upload the following additional documents:
For full consideration, please apply no later than 14th September 2026. The selection procedure will take place in September/October 2026, and selected candidates may be invited for an interview during this period.