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[AUDITORY] PhD offer: 'Bioacoustic AI on a batteryless autonomous sensor'



The French national center for scientific research (CNRS) is hiring a PhD student as part of the Horizon Europe doctoral network on Bioacoustic Artificial Intelligence (Bioacoustic AI). We have planned secondments at the University of South Bohemia (Czech Republic) and Iconize (the Netherlands). More details below my signature.

Application portal: https://emploi.cnrs.fr/Offres/Doctorant/UMR6004-VINLOS-006/Default.aspx?lang=EN
Advisors: Vincent Lostanlen, Mathieu Lagrange
Location: LS2N, Nantes, FranceStart date: March 2024
Graduate school: Ecole Centrale de Nantes
Wage: c. 2580 € gross monthly + mobility and family allowances. Read: https://www.horizon-europe.gouv.fr/sites/default/files/2022-02/horizon-europe---dn-pf---french-salary-explained-5762.pdf 

For more details on the Bioacoustic AI doctoral network, visit: https://bioacousticai.eu


Sincerely,

Vincent Lostanlen.



Acoustic recording devices have a key role to play against the loss of biodiversity. Yet, the current generation of environmental sensors suffers from a lack of autonomy. Indeed, these sensors typically operate on batteries and store audio data on digital memory cards. Thus, scientists need to access the recording site periodically in order to collect data and replace batteries. Such a dependency on human intervention and on toxic substances jeopardizes the scalability of bioacoustic monitoring, disrupts natural habitats, and creates electronic waste.

In this context, the PhD will design the first wireless and batteryless sensor that embeds an AI algorithm for bioacoustic event detection. They will also conduct a life-cycle assessment (LCA) of the proposed solution and compare it against current commercial solutions over various metrics of success: e.g., uptime, reliability, manufacturing cost, accuracy of predictions, CO2 emissions, and dependency on rare earth elements.