[AUDITORY] Open Position as Industrial Post Doc at Eriksholm Research Centre and Technical University of Denmark ("Niels Henrik Pontoppidan (NPON)" )

Subject: [AUDITORY] Open Position as Industrial Post Doc at Eriksholm Research Centre and Technical University of Denmark From: "Niels Henrik Pontoppidan (NPON)" <npon@xxxxxxxx> Date: Fri, 7 Jun 2019 15:45:32 +0000 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY> --_006_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_ Content-Type: multipart/alternative; boundary="_000_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_" --_000_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear members of the auditory list, I would like to announce an open position in Augmented Hearing group at Eri= ksholm Research Centre, Snekkersten, Denmark as an Industrial Postdoc withi= n contextual modeling of hearing aid user preferences. To apply please go t= o https://www.oticon.global/about/jobs/careers/open-positions/job-details2?= id=3D9338. For more information contact Senior Scientist Michael Petersen a= t MKPE@xxxxxxxx<mailto:MKPE@xxxxxxxx>. Best regards Niels Pontoppidan, Manager Augmented Hearing, Eriksholm Research Centre Copy of the description: The Augmented Hearing Group at Eriksholm Research Centre and Cognitive Syst= ems Group at DTU Compute are looking for a candidate for a fully funded thr= ee-year Postdoc on the topic of "Modeling the preferences of hearing aid us= ers by combining context data with natural language understanding" to start= in the mid-2019. The Postdoc opportunity is funded through the industrial Postdoc program of= the Innovation Foundation of Denmark, and therefore limited to candidates = who received their PhD within the last 5 years. Furthermore, the candidate = has not been employed more than 6 months in a private sector company within= the healthcare industry. The Postdoc will be a full-time employee of Augme= nted Hearing Group at Eriksholm Research Centre which is part of Oticon and= associated as a Postdoc with the Cognitive Systems Group at DTU Compute, T= he Technical University of Denmark. The scope The introduction of internet connected hearing aids constitutes a paradigm = shift as traditional signal processing can now be complemented with AI neur= al network models implemented on a smartphone. This facilitates learning th= e audiological preferences of hearing-impaired users in real life listening= scenarios. Combining sound environment data with natural language understa= nding AI, hearing aids can be transformed into digital voice assistants, wh= ich through user dialogues are able to learn the optimal hearing aid settin= gs dependent on the context. Based on research collaboration with Cognitive= Systems Group, DTU Compute, the aim is to apply AI to not only enhance use= r experience by personalizing each hearing aid, but also radically improve = treatment of patients by learning audiological insights from securely share= d healthcare data crowdsourced from large amounts of users. To be eligible You hold a PhD in acoustic engineering, natural language understanding, mac= hine learning, or cognitive science with experience in computational modeli= ng of user preferences, internet of things data, or auditory perception usi= ng high level machine learning methods. To be successful in completing this project you should preferably have good= knowledge of Python programming using high level AI deep learning framewor= ks such as Keras/TensorFlow. You are good at communication complex topics in an easy understandable way,= and you are fluent in writing and speaking English, as our corporate langu= age is English. Your application must include * Cover letter * A complete CV including descriptions of relevant courses, projects an= d publications * Two contact references from university supervisor or private sector c= ompany managers; we will not contact them without your prior acceptance * Copy of PhD, MSc, BSc diplomas NB: Candidates may apply prior to obtaining their PhD degree but cannot beg= in before having received it. All interested candidates irrespective of age= , gender, race, disability, religion or ethnic background are encouraged to= apply. Application and contact Please send your application and CV online only . We are interviewing relev= ant candidates on a continuous basis so please send you relevant documents = no later than July 31, 2019. To learn more about this opportunity please co= ntact Senior Scientist Michael Kai Petersen mkpe@xxxxxxxx<mailto:mkpe@xxxxxxxx= eriksholm.com>, Augmented Hearing at Eriksholm Research Centre. About Augmented Hearing and DTU Cognitive Systems Group Augmented Hearing is a research group at Eriksholm Research Centre focusing= on solving audiological challenges with data and our latest research has d= emonstrated how speech data enables the separation of individual voices and= how hearing aid data reveals behavioral patterns in the use of hearing aid= s. Eriksholm's research has a strong international track record in applied = science. We closely collaborate with leading universities around the world = for finding the best solutions for the hearing healthcare of the future. Ou= r efforts aim at implementing clinical audiology solutions supported by ele= ctronic processes and communication. We focus on the needs of people with h= earing impairment and their clinicians. Our research does not only generate= publications and patents, but also transforms the clinical practice and th= e operations of large health care providers. Eriksholm Research Centre is p= art of Oticon, a world leader in hearing care and one of the companies in t= he Demant group, which has more than 14.000 employees across the world and = revenues of DKK 14 billion. DTU Compute's Section for Cognitive Systems is a lively and research-orient= ed group of scientists and support staff, sharing an interest in informatio= n processing in man and computer, with a particular focus on the signals th= ey exchange - audio, imagery, behavior - and the opportunities these signal= s offer for modeling and engineering of cognitive systems. The section has = a strong track record in research related to AI, Machine Learning, and soun= d. Niels H. Pontoppidan Ph.D., M.Sc.E. Research Area Manager, Augmented Hearing Eriksholm Research Centre R=F8rtangvej 20 3070 Snekkersten Denmark Direct: +45 4829 8927 Mobile: +45 3061 5087 Email: npon@xxxxxxxx<mailto:npon@xxxxxxxx> Website: www.eriksholm.com<http://www.eriksholm.com/> Eriksholm pursues audiological discoveries with the potential to significan= tly enhance end-user benefits in future hearing care. We work in close collaboration with academic research institutions, clinici= ans and end-users, and being part of Oticon ensures that our scientific ins= ights are applied in solutions that empower people with hearing loss. Follow us on [cid:image001.png@xxxxxxxx <facebook.com/eriksholmr= c> [cid:image002.png@xxxxxxxx <https://www.linkedin.com/company= /10422888> [cid:image003.png@xxxxxxxx <twitter.com/eriksholmrc> --_000_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_ 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:x=3D"urn:schemas-microsoft-com:office:excel" xmlns:m=3D"http://schema= s.microsoft.com/office/2004/12/omml" xmlns=3D"http://www.w3.org/TR/REC-html= 40"> <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></style> </head> <body lang=3D"EN-US" link=3D"#0563C1" vlink=3D"#954F72"> <div class=3D"WordSection1"> Dear members of the audi= tory list,<o:p></o:p> I would like to announce= an open position in Augmented Hearing group at Eriksholm Research Centre, = Snekkersten, Denmark as an Industrial Postdoc within contextual modeling of hearing aid user preferences. To apply pleas= e go to <a href=3D"https://www.oticon.global/about/jobs/careers/open-positions/job-= details2?id=3D9338"> https://www.oticon.global/about/jobs/careers/open-positions/job-details2?id= =3D9338</a>. For more information contact Senior Scientist Michael Petersen= at <a href=3D"mailto:MKPE@xxxxxxxx">MKPE@xxxxxxxx</a>. <o:p></o:p></= span> Best regards<o:p></o:p><= /span> Niels Pontoppidan, Manag= er Augmented Hearing, Eriksholm Research Centre<o:p></o:p> Copy of the description:= <o:p></o:p> The Augmented Hearing Gr= oup at Eriksholm Research Centre and Cognitive Systems Group at DTU Compute= are looking for a candidate for a fully funded three-year Postdoc on the topic of “Modeling the preferences = of hearing aid users by combining context data with natural language unders= tanding” to start in the mid-2019.<o:p></o:p> The Postdoc opportunity = is funded through the industrial Postdoc program of the Innovation Foundati= on of Denmark, and therefore limited to candidates who received their PhD within the last 5 years. Furthermore, th= e candidate has not been employed more than 6 months in a private sector co= mpany within the healthcare industry. The Postdoc will be a full-time emplo= yee of Augmented Hearing Group at Eriksholm Research Centre which is part of Oticon and associated as a Post= doc with the Cognitive Systems Group at DTU Compute, The Technical Universi= ty of Denmark.<o:p></o:p> The scope<= span lang=3D"EN" style=3D"color:#3B3C3D"><o:p></o:p> The introduction of inte= rnet connected hearing aids constitutes a paradigm shift as traditional sig= nal processing can now be complemented with AI neural network models implemented on a smartphone. This facilitates lea= rning the audiological preferences of hearing-impaired users in real life l= istening scenarios. Combining sound environment data with natural language = understanding AI, hearing aids can be transformed into digital voice assistants, which through user dialogues= are able to learn the optimal hearing aid settings dependent on the contex= t. Based on research collaboration with Cognitive Systems Group, DTU Comput= e, the aim is to apply AI to not only enhance user experience by personalizing each hearing aid, but also r= adically improve treatment of patients by learning audiological insights fr= om securely shared healthcare data crowdsourced from large amounts of users= .<o:p></o:p> To be eligible= <o:p></o:p> You hold a PhD in acoust= ic engineering, natural language understanding, machine learning, or cognit= ive science with experience in computational modeling of user preferences, internet of things data, or auditory percept= ion using high level machine learning methods.<o:p></o:p> To be successful in comp= leting this project you should preferably have good knowledge of Python pro= gramming using high level AI deep learning frameworks such as Keras/TensorFlow.<o:p></o:p> You are good at communic= ation complex topics in an easy understandable way, and you are fluent in w= riting and speaking English, as our corporate language is English.<o:p></o:p> Your application must= include<o:p></o:p> <ul type=3D"disc"> <li class=3D"MsoListParagraph" style=3D"color:#3B3C3D;mso-margin-top-alt:au= to;mso-margin-bottom-alt:auto;margin-left:0cm;mso-list:l0 level1 lfo2"> Cover letter<o:p></o:p></li><li class=3D"MsoListPa= ragraph" style=3D"color:#3B3C3D;mso-margin-top-alt:auto;mso-margin-bottom-a= lt:auto;margin-left:0cm;mso-list:l0 level1 lfo2"> A complete CV including descriptions of relevant courses,= projects and publications<o:p></o:p></li><li class=3D"MsoListParagr= aph" style=3D"color:#3B3C3D;mso-margin-top-alt:auto;mso-margin-bottom-alt:a= uto;margin-left:0cm;mso-list:l0 level1 lfo2"> Two contact references from university supervisor or priv= ate sector company managers; we will not contact them without your prior ac= ceptance<o:p></o:p></li><li class=3D"MsoListParagraph" style=3D"colo= r:#3B3C3D;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:0c= m;mso-list:l0 level1 lfo2"> Copy of PhD, MSc, BSc diplomas<o:p></o:p></li></ul= > NB: Candidates may apply= prior to obtaining their PhD degree but cannot begin before having receive= d it. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encour= aged to apply.<o:p></o:p> Application and conta= ct<o:p></o:p></= p> Please send your applica= tion and CV online only . We are interviewing relevant candidates on a cont= inuous basis so please send you relevant documents no later than July 31, 2019. To learn more about this opportunit= y please contact Senior Scientist Michael Kai Petersen <a href=3D"mailto:mkpe@xxxxxxxx= om">mkpe@xxxxxxxx</a>, Augmented Hearing at Eriksholm Research Cen= tre.<o:p></o:p> About Augmented Hearing and= DTU Cognitive Systems Group<o:p></o:p> Augmented Hearing is a researc= h group at Eriksholm Research Centre focusing on solving audiological chall= enges with data and our latest research has demonstrated how speech data en= ables the separation of individual voices and how hearing aid data reveals behavioral patterns in the use of hearing= aids. Eriksholm’s research has a strong international track record i= n applied science. We closely collaborate with leading universities around = the world for finding the best solutions for the hearing healthcare of the future. Our efforts aim at implementing = clinical audiology solutions supported by electronic processes and communic= ation. We focus on the needs of people with hearing impairment and their cl= inicians. Our research does not only generate publications and patents, but also transforms the clinical p= ractice and the operations of large health care providers. Eriksholm Resear= ch Centre is part of Oticon, a world leader in hearing care and one of the = companies in the Demant group, which has more than 14.000 employees across the world and revenues of DKK 14 bil= lion. <o:p> </o:p> DTU Compute’s Section fo= r Cognitive Systems is a lively and research-oriented group of scientists a= nd support staff, sharing an interest in information processing in man and = computer, with a particular focus on the signals they exchange - audio, imagery, behavior - and the opportunities these sig= nals offer for modeling and engineering of cognitive systems. The section h= as a strong track record in research related to AI, Machine Learning, and s= ound. <o:p></o:p> <o:p> </o:p> <o:p> </o:p> Niels H. Pontoppidan Ph.D., M.Sc.E.<o:p></o:p> Research Area Manager, Augmented Hearin= g<o:p></o:p> <o:p> </o:p> Eriksholm Research Centre R=F8rtangvej 20 3070 Snekkersten Denmark Direct:     +45 4829 8927 Mobile:   +45 3061 5087 Email:     <a href=3D"mailt= o:npon@xxxxxxxx">npon@xxxxxxxx= </a><o:p></o:p> Website: <a href=3D"http://www.eriksholm.com/">www.eriksholm.com</a><o:p></o= :p> Eriksholm pursues audiological discoveries with the p= otential to significantly enhance end-user benefits in future hearing care.= We work in close collaboration with academic research institutions, clinici= ans and end-users, and being part of Oticon ensures that our scientific ins= ights are applied in solutions that empower people with hearing loss.<o:p><= /o:p> <o:p> </o:p> Follow us on  <a href=3D"facebook.com/eriksholmrc"><img border=3D"0" width=3D"38" height=3D"38" style=3D"width:.3958in;height= :.3958in" id=3D"Picture_x0020_4" src=3D"cid:image001.png@xxxxxxxx"= alt=3D"cid:image001.png@xxxxxxxx"></a> &nb= sp;<a href=3D"https://www.linkedin.com/company/10422888"><img border=3D"0" width=3D"38" height=3D"38" style=3D= "width:.3958in;height:.3958in" id=3D"Picture_x0020_5" src=3D"cid:image002.p= ng@xxxxxxxx" alt=3D"cid:image002.png@xxxxxxxx"></a= >  <a href=3D"twitter.com/eriksholmrc"><img border=3D"0" width=3D"38" height=3D"38" style= =3D"width:.3958in;height:.3958in" id=3D"Picture_x0020_6" src=3D"cid:image00= 3.png@xxxxxxxx" alt=3D"cid:image003.png@xxxxxxxx">= </a><o:p></o:p> <o:p> </o:p> </div> </body> </html> --_000_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_-- --_006_AM0PR04MB5874425AB43FC1EE66DA626BCA100AM0PR04MB5874eurp_ Content-Type: image/png; 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maintained by:

DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University