[AUDITORY] Postdoctoral research position in machine learning (ML) for hearing aid signal processing (Lara Harris )


Subject: [AUDITORY] Postdoctoral research position in machine learning (ML) for hearing aid signal processing
From:    Lara Harris  <00000181a8f8bf8a-dmarc-request@xxxxxxxx>
Date:    Tue, 23 Nov 2021 13:55:10 +0000

--_000_AM6PR01MB4456BBEC4774E03C03A933B89D609AM6PR01MB4456eurp_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear List, The University of Sheffield is seeking a postdoctoral Research Associate in= machine learning (ML) for hearing aid signal processing. You will be joining a large, established, 5-year EPSRC project that is seek= ing to develop transformative approaches to hearing aid speech processing t= hrough the organisation of a series of open challenges (the 'Clarity Challe= nges'). The project is running across the Universities of Sheffield, Cardif= f, Nottingham and Salford, with industrial support from Amazon and the Hear= ing Industry Research Consortium. It provides excellent opportunities for c= ollaboration both in the UK and internationally. For further details, visit= http://claritychallenge.org/<https://eur01.safelinks.protection.outlook.co= m/?url=3Dhttp%3A%2F%2Fclaritychallenge.org%2F&data=3D04%7C01%7CL.E.Harris%4= 0salford.ac.uk%7Cf986c48d5c964327cccd08d9ab4effb3%7C65b52940f4b641bd833d303= 3ecbcf6e1%7C0%7C0%7C637729178045131946%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4w= LjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=3D5v91b= a3JqyrHmb3MGAbLEBFWEBWShEymTLPqt5AAiKc%3D&reserved=3D0>. We welcome applicants with Python software development experience and a PhD= in Speech and Hearing Technology, Machine Learning or a related area. Your= role will involve authoring open-source tools and baseline systems for use= in future Clarity Challenge rounds. You will then be working with the proj= ect team and members of the international research community to coordinate = these challenges. You will also have the opportunity for conducting novel r= esearch in speech intelligibility enhancement and speech intelligibility pr= ediction. The role will place you at the centre of a rapidly growing commun= ity of researchers who are using machine learning approaches to improve hea= ring aid performance. Apply by: 6th December, 2021 Starting date: January 10th, 2021 or later Duration: 24 months Location: Sheffield, UK Salary: =A332,344 to =A340,927 per annum, according to experience For more details and to apply https://www.jobs.ac.uk/job/CKX748/research-associate-in-machine-learning-fo= r-hearing-aid-signal-processing<https://eur01.safelinks.protection.outlook.= com/?url=3Dhttps%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FCKX748%2Fresearch-associate= -in-machine-learning-for-hearing-aid-signal-processing&data=3D04%7C01%7CL.E= .Harris%40salford.ac.uk%7Cf986c48d5c964327cccd08d9ab4effb3%7C65b52940f4b641= bd833d3033ecbcf6e1%7C0%7C0%7C637729178045141943%7CUnknown%7CTWFpbGZsb3d8eyJ= WIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdat= a=3DR%2BN5ehEhvOiUrApO4QUWvRsdykCyeV9ngFRpvN%2BdRIE%3D&reserved=3D0> For informal inquiries, please contact: Jon Barker, j.p.barker@xxxxxxxx= .uk<mailto:j.p.barker@xxxxxxxx> --_000_AM6PR01MB4456BBEC4774E03C03A933B89D609AM6PR01MB4456eurp_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr= osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:= //www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Diso-8859-= 1"> <meta name=3D"Generator" content=3D"Microsoft Word 15 (filtered medium)"> <style><!-- /* Font Definitions */ @xxxxxxxx {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @xxxxxxxx {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0cm; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-fareast-language:EN-US;} a:link, span.MsoHyperlink {mso-style-priority:99; color:#0563C1; text-decoration:underline;} span.EmailStyle17 {mso-style-type:personal-compose; font-family:"Calibri",sans-serif; color:windowtext;} .MsoChpDefault {mso-style-type:export-only; font-family:"Calibri",sans-serif; mso-fareast-language:EN-US;} @xxxxxxxx WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext=3D"edit"> <o:idmap v:ext=3D"edit" data=3D"1" /> </o:shapelayout></xml><![endif]--> </head> <body lang=3D"EN-GB" link=3D"#0563C1" vlink=3D"#954F72" style=3D"word-wrap:= break-word"> <div class=3D"WordSection1"> <p class=3D"MsoNormal">Dear List,<o:p></o:p></p> <p class=3D"MsoNormal"><br> The University of Sheffield is seeking a postdoctoral Research Associate in= machine learning (ML) for hearing aid signal processing. <o:p></o:p></p> <p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p> <p class=3D"MsoNormal">You will be joining a large, established, 5-year EPS= RC project that is seeking to develop transformative approaches to hearing = aid speech processing through the organisation of a series of open challeng= es (the 'Clarity Challenges'). The project is running across the Universities of Sheffield, Cardiff, Nottingh= am and Salford, with industrial support from Amazon and the Hearing Industr= y Research Consortium. It provides excellent opportunities for collaboratio= n both in the UK and internationally. For further details, visit&nbsp;<a href=3D"https://eur01.safelinks.protect= ion.outlook.com/?url=3Dhttp%3A%2F%2Fclaritychallenge.org%2F&amp;data=3D04%7= C01%7CL.E.Harris%40salford.ac.uk%7Cf986c48d5c964327cccd08d9ab4effb3%7C65b52= 940f4b641bd833d3033ecbcf6e1%7C0%7C0%7C637729178045131946%7CUnknown%7CTWFpbG= Zsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C= 3000&amp;sdata=3D5v91ba3JqyrHmb3MGAbLEBFWEBWShEymTLPqt5AAiKc%3D&amp;reserve= d=3D0" target=3D"_blank">http://claritychallenge.org/</a>.<br> <br> We welcome applicants with Python software development experience and a PhD= in Speech and Hearing Technology, Machine Learning or a related area. Your= role will involve authoring open-source tools and baseline systems for use= in future Clarity Challenge rounds. You will then be working with the project team and members of the internat= ional research community to coordinate these challenges. You will also have= the opportunity for conducting novel research in speech intelligibility en= hancement and speech intelligibility prediction. The role will place you at the centre of a rapidly growing com= munity of researchers who are using machine learning approaches to improve = hearing aid performance.<br> <br> Apply by: 6th December, 2021<br> Starting date: January 10th, 2021 or later<br> Duration: 24 months<br> Location: Sheffield, UK<br> Salary: =A332,344 to =A340,927 per annum, according to experience<br> <br> For more details and to apply<br> <br> <a href=3D"https://eur01.safelinks.protection.outlook.com/?url=3Dhttps%3A%2= F%2Fwww.jobs.ac.uk%2Fjob%2FCKX748%2Fresearch-associate-in-machine-learning-= for-hearing-aid-signal-processing&amp;data=3D04%7C01%7CL.E.Harris%40salford= .ac.uk%7Cf986c48d5c964327cccd08d9ab4effb3%7C65b52940f4b641bd833d3033ecbcf6e= 1%7C0%7C0%7C637729178045141943%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAi= LCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&amp;sdata=3DR%2BN5ehE= hvOiUrApO4QUWvRsdykCyeV9ngFRpvN%2BdRIE%3D&amp;reserved=3D0" target=3D"_blan= k"><span style=3D"font-family:&quot;Arial&quot;,sans-serif">https://www.job= s.ac.uk/job/CKX748/research-associate-in-machine-learning-for-hearing-aid-s= ignal-processing</span></a><br> <br> For informal inquiries, please contact: Jon Barker,&nbsp;<a href=3D"mailto:= j.p.barker@xxxxxxxx" target=3D"_blank">j.p.barker@xxxxxxxx</a= ><o:p></o:p></p> <p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p> </div> </body> </html> --_000_AM6PR01MB4456BBEC4774E03C03A933B89D609AM6PR01MB4456eurp_--


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