[AUDITORY] PhD opportunity: 10 funded PhDs on Bioacoustic AI for wildlife protection

[Dan Stowell <0000026eca42b59c-dmarc-request@xxxxxxxxxxxxxxx>]

Dear all,

Would you like to develop AI algorithms to help understand animal sound? To monitor biodiversity across Europe? To collaborate with AI and biodiversity experts, as part of a team and with partners in many European countries?

10 PhD positions within prestigious EU funded project available: bioacousticai.eu

We are now looking for PhD Doctoral Candidates in Bioacoustic AI. We have ten fully-funded positions available, within a project that reaches across various countries: The Netherlands, Germany, France, Belgium, Czechia, Finland, and the UK. As a PhD candidate you will be based at a university/institution in one of these countries, and you will work on your project in teamwork with experts in both AI and ecology/zoology. You will also collaborate with project partners in other European institutions, including extended research visits for in-depth collaborations.

Some of the PhD projects focus on developing AI/signal processing algorithms. Some of the PhD projects focus on ecological questions or animal behaviour. The animals of interest include different species of terrestrial insects, birds, bats and other mammals.

Recruitment has just started. The PhDs are planned to begin in early 2024 (Jan–Mar). The funded PhDs will be full-time, and run for 3 years, or up to 4 years in some countries according to local PhD requirements.

The 10 PhD topics:

1. Human-in-the-loop AI for acoustic event detection and classification - Tampere University, Finland. Primary supervisor: Prof Tuomas Virtanen
2. Identifying unknown species and unknown sounds using machine learning - Naturalis Biodiversity Centre, The Netherlands. Primary supervisor: Dr Dan Stowell
3. Massively multi-task deep learning for wildlife sound monitoring - Tilburg University, The Netherlands. Primary supervisor: Dr Dan Stowell
4. Distributed sound source localisation and separation for wireless microphone networks consisting of two-microphone nodes - KU Leuven, Belgium. Primary supervisors: Dr Randall Ali and Prof Toon van Waterschoot
5. AI-enhanced sound event localisation and detection in microphone arrays - Sorama BV, The Netherlands. Primary supervisor: Dr Jin-Jack Tan
6. Sustainable design of autonomous bioacoustic sensors - CNRS, École Centrale Nantes, France. Primary supervisor: Dr Vincent Lostanlen
7. Vocal interactions in animal groups - Max Planck Institute for Animal Behaviour, Germany. Primary supervisor: Dr Ariana Strandburg-Peshkin
8. Yellowhammer – individual acoustic monitoring to study song culture evolution within and between dialect areas - Charles University, Czechia. Primary supervisor: Dr Tereza Petruskova
9. Using sounds to estimate breeding and non-breeding population of a species - University of South Bohemia, Czechia. Primary supervisor: Dr Pavel Linhart
10. End-to-end bioacoustic systems for monitoring wildlife populations and ecosystems - UCL, UK. Primary supervisor: Prof Kate Jones

For details about the project supervisors and their groups/labs, and to apply, please see https://bioacousticai.eu/

Please share this with your networks and anyone who may be interested.

Best wishes
Dan Stowell (lead investigator), on behalf of the team


BioacAI has received funding from the European Union’s Marie Skłodowska-Curie Action under grant agreement No 101116715

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Dan Stowell http://www.mcld.co.uk/research/
Associate Professor of AI & Biodiversity
* Tilburg University https://csai.nl/
* Naturalis Biodiversity Centre http://naturalis.nl/
* Jheronimus Academy of Data Sciences https://www.jads.nl/