Subject: [AUDITORY] PhD offer: 'Bioacoustic AI on a batteryless autonomous sensor' From: Vincent Lostanlen <vincent.lostanlen@xxxxxxxx> Date: Wed, 13 Sep 2023 14:28:59 +0200--Apple-Mail=_3863B97E-1D8B-488D-830F-0090646BC994 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8 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?la= ng=3DEN Advisors: Vincent Lostanlen, Mathieu Lagrange Location: LS2N, Nantes, FranceStart date: March 2024 Graduate school: Ecole Centrale de Nantes Wage: c. 2580 =E2=82=AC gross monthly + mobility and family allowances. = Read: = https://www.horizon-europe.gouv.fr/sites/default/files/2022-02/horizon-eur= ope---dn-pf---french-salary-explained-5762.pdf=20 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. = https://emploi.cnrs.fr/Offres/Doctorant/UMR6004-VINLOS-006/Default.aspx=EF= =BF=BC --Apple-Mail=_3863B97E-1D8B-488D-830F-0090646BC994 Content-Type: multipart/related; type="text/html"; boundary="Apple-Mail=_D6DD1AA6-479F-449E-A383-43AF61484A60" --Apple-Mail=_D6DD1AA6-479F-449E-A383-43AF61484A60 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=utf-8 <html><head><meta http-equiv=3D"content-type" content=3D"text/html; = charset=3Dutf-8"></head><body style=3D"overflow-wrap: break-word; = -webkit-nbsp-mode: space; line-break: after-white-space;">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.<div><br></div><div>Application = portal: https://emploi.cnrs.fr/Offres/Doctorant/UMR6004-VINLOS-006/De= fault.aspx?lang=3DEN</div><div><div>Advisors: Vincent Lostanlen, Mathieu = Lagrange</div><span>Location: LS2N, Nantes, France</span><span>Start = date: March 2024</span></div><div>Graduate school: Ecole Centrale de = Nantes<br><div><span>Wage: c. 2580 =E2=82=AC gross monthly + = mobility and family allowances. Read: = https://www.horizon-europe.gouv.fr/sites/default/files/2022-02/horizon-eur= ope---dn-pf---french-salary-explained-5762.pdf </span></div><div><spa= n><br></span></div><div><span>For more details on the Bioacoustic AI = doctoral network, visit: = https://bioacousticai.eu</span></div><div><div><div><br></div><div><br></d= iv><div>Sincerely,</div><div><br></div><div>Vincent = Lostanlen.</div><div><br></div><div><br></div><div><br></div><div><span>Ac= oustic 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.</span></div><div><span><br></span></div><div><span>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.</span><span></span></div><span><br></span><div><br></div><div><b= r></div><div><br></div><div><div style=3D"display: block;"><div = style=3D"-webkit-user-select: all; -webkit-user-drag: element; display: = inline-block;" class=3D"apple-rich-link" draggable=3D"true" role=3D"link" = data-url=3D"https://emploi.cnrs.fr/Offres/Doctorant/UMR6004-VINLOS-006/Def= ault.aspx"><a style=3D"border-radius:10px;font-family:-apple-system, = Helvetica, Arial, = sans-serif;display:block;-webkit-user-select:none;width:300px;user-select:= none;-webkit-user-modify:read-only;user-modify:read-only;overflow:hidden;t= ext-decoration:none;" class=3D"lp-rich-link" rel=3D"nofollow" = 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