Subject: [AUDITORY] 3 PhD positions in Oldenburg, Germany From: Anna Warzybok <a.warzybok@xxxxxxxx> Date: Mon, 27 Jul 2020 08:11:13 +0000--_000_afb4df757f5c467babab2d5d54b96815unioldenburgde_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear list, 3 PhD positions are opened in Oldenburg, Germany ( <https://uol.de/stellen/= ?stelle=3D67452> https://uol.de/stellen/?stelle=3D67452 ). If you know of a= nyone who might be interested in such a position, please forward the inform= ation below. Thank you! Best regards, Anna Warzybok Description of PhD research projects The overarching aim of the three collaborating PhD projects is to contribut= e to the construction of a "virtual hearing clinic" for mobile personal dev= ices that combines self-controlled auditory diagnostics, machine-learning s= upported classification of hearing disorders, and provisions to fit and tes= t "virtual" hearing devices to derive predictions about the individual bene= fit from a real hearing aid. Depending on the skills and interests of the s= uccessful candidates, the three projects will combine an individual mixture= of basic research, audiological evaluations with normal and hearing-impair= ed volunteers, data science, auditory modelling, algorithm and software dev= elopment, and project management as follows: Position A: Psychophysics and medical classification The psychophysical and psychometrical methods involved in multimodal tests = (including auditory tests) with mobile devices need to be optimized and tes= ted for robustness, reproducibility, and validity for classifying the under= lying hearing disorder. One goal is to create an auditory profile with a mi= nimum set of highly controlled and efficient clinical-audiological tests th= at allow the fitting of relevant individual model parameters. A second goal= is to develop medical classification methods operating on these sets of te= sts in combination with auditory models and with machine learning methods s= uch as Bayesian nets for interpreting the results and prediction of missing= data. Position B: Speech recognition with multilingual tests with normal and hear= ing-impaired listeners The self-controlled, optimized tests to be run on the virtual hearing clini= c include speech recognition tests in noise that will be further developed = together with international partners to address more languages (covering >9= 0 % of EU and > 65% of world population), and to be more realistic in real = life (e.g. using virtual acoustic technology) in order to assess the indivi= dual benefit from advanced hearing solutions. One goal is to systematically= assess the differences across tonal and non-tonal languages in collaborati= on with our Chinese partners and to both empirically and theoretically (i.e= ., using auditory models) assess the influence of speaker, language, the Lo= mbard effect, and reverberation on speech recognition. Position C: Development of a virtual (hearing) clinic for mobile devices The aim of this project is to integrate model-based audiological, multiling= ual diagnostics, statistical classification and virtual hearing aid simulat= ion into consistent, user-centered building blocks for the "virtual hearing= clinic" that can be used for mobile Health "virtual clinics" solutions in = other clinical disciplines as well. By the use of a fixed, optimised test s= et, even a reduced, screening-test-like approach within the virtual (hearin= g) clinic should provide enough information to sufficiently characterize an= d at least coarsely classify the indivudual (hearing) disorder as a means f= or deriving a treatment recommendation. The emphasis in this project will b= e put on data management, statistical learning methods, usability engineeri= ng, and empirical studies on the feasibility, strengths and shortcomings of= the "virtual (hearing) clinic" with a growing set of voluntary test subjec= ts and patients. Research Environment: The Medical physics section (https://uol.de/en/mediphysics-acoustics/mediph= ysics) performs world-class research in Hearing and technical audiology in = a highly interdisciplinary and rich research environment, characterized by = large award-winning research consortia (e.g., the Cluster of Excellence Hea= ring4All, see hearing4all.eu, or the comprehensive research centre "Hearing= Acoustics", see uol.de/en/sfb-1330-hearing-acoustics) and by collaboration= with high-profile extra university research institutions such as H=F6rTech= gGmbH and Fraunhofer IDMT/HSA. They are directed by Prof. Dr. Dr. Birger K= ollmeier (see google --> images --> "Professor") who will also serve as sup= ervisor of the PhD theses described above. Until now, B. Kollmeier has supe= rvised more than 75 successful PhD candidates. Most of them have consecutiv= ely pursued impressive careers in academia, science and the industry. --_000_afb4df757f5c467babab2d5d54b96815unioldenburgde_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <html> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Diso-8859-= 1"> <style type=3D"text/css" style=3D"display:none;"><!-- P {margin-top:0;margi= n-bottom:0;} --></style> </head> <body dir=3D"ltr"> <div id=3D"divtagdefaultwrapper" dir=3D"ltr" style=3D"font-size:12pt; color= :rgb(0,0,0); font-family:Calibri,Helvetica,sans-serif,"EmojiFont"= ,"Apple Color Emoji","Segoe UI Emoji",NotoColorEmoji,&q= uot;Segoe UI Symbol","Android Emoji",EmojiSymbols"> <p></p> <div style=3D"margin-top:14pt; margin-bottom:14pt">Dear list, </div> <div style=3D"margin-top:14pt; margin-bottom:14pt">3 PhD positions are open= ed in Oldenburg, Germany (<a href=3D"https://uol.de/stellen/?stelle=3D67452= " class=3D"OWAAutoLink" id=3D"LPlnk332541" previewremoved=3D"true"> </a><a href=3D"https://uol.de/stellen/?stelle=3D67452" class=3D"OWAAutoLink= " id=3D"LPlnk954007" previewremoved=3D"true">https://uol.de/stellen/?stelle= =3D67452</a> ). If you know of anyone who might be interested in such a pos= ition, please forward the information below.</div> <div style=3D"margin-top:14pt; margin-bottom:14pt">Thank you! </div> <div style=3D"margin-top:14pt; margin-bottom:14pt">Best regards,</div> <div style=3D"margin-top:14pt; margin-bottom:14pt">Anna Warzybok</div> <div style=3D"margin-top:14pt; margin-bottom:14pt"><br> </div> <div style=3D"margin-top:14pt; margin-bottom:14pt"> <p>Description of PhD research projects</p> <p>The overarching aim of the three collaborating PhD projects is to contri= bute to the construction of a "virtual hearing clinic" for mobile= personal devices that combines self-controlled auditory diagnostics, machi= ne-learning supported classification of hearing disorders, and provisions to fit and test "virtual" hearing devi= ces to derive predictions about the individual benefit from a real hearing = aid. Depending on the skills and interests of the successful candidates, th= e three projects will combine an individual mixture of basic research, audiological evaluations with normal and hearin= g-impaired volunteers, data science, auditory modelling, algorithm and soft= ware development, and project management as follows:</p> <p style=3D"font-weight:bold">Position A: Psychophysics and medical classif= ication</p> <p>The psychophysical and psychometrical methods involved in multimodal tes= ts (including auditory tests) with mobile devices need to be optimized and = tested for robustness, reproducibility, and validity for classifying the un= derlying hearing disorder. One goal is to create an auditory profile with a minimum set of highly controlled a= nd efficient clinical-audiological tests that allow the fitting of relevant= individual model parameters. A second goal is to develop medical classific= ation methods operating on these sets of tests in combination with auditory models and with machine learnin= g methods such as Bayesian nets for interpreting the results and prediction= of missing data.</p> <p style=3D"font-weight:bold">Position B: Speech recognition with multiling= ual tests with normal and hearing-impaired listeners</p> <p>The self-controlled, optimized tests to be run on the virtual hearing cl= inic include speech recognition tests in noise that will be further develop= ed together with international partners to address more languages (covering= >90 % of EU and > 65% of world population), and to be more realistic in real life (e.g. using virtual aco= ustic technology) in order to assess the individual benefit from advanced h= earing solutions. One goal is to systematically assess the differences acro= ss tonal and non-tonal languages in collaboration with our Chinese partners and to both empirically and the= oretically (i.e., using auditory models) assess the influence of speaker, l= anguage, the Lombard effect, and reverberation on speech recognition.</p> <p style=3D"font-weight:bold">Position C: Development of a virtual (hearing= ) clinic for mobile devices</p> <p>The aim of this project is to integrate model-based audiological, multil= ingual diagnostics, statistical classification and virtual hearing aid simu= lation into consistent, user-centered building blocks for the "virtual= hearing clinic" that can be used for mobile Health "virtual clinics" solutions in other clinical disc= iplines as well. By the use of a fixed, optimised test set, even a reduced,= screening-test-like approach within the virtual (hearing) clinic should pr= ovide enough information to sufficiently characterize and at least coarsely classify the indivudual (hearing) disorder as a mean= s for deriving a treatment recommendation. The emphasis in this project wil= l be put on data management, statistical learning methods, usability engine= ering, and empirical studies on the feasibility, strengths and shortcomings of the "virtual (hearing)= clinic" with a growing set of voluntary test subjects and patients.</= p> <p><strong>Research Environment</strong>: <br> The Medical physics section (https://uol.de/en/mediphysics-acoustics/mediph= ysics) performs world-class research in Hearing and technical audiology in = a highly interdisciplinary and rich research environment, characterized by = large award-winning research consortia (e.g., the Cluster of Excellence Hearing4All, see hearing4all.eu, or the c= omprehensive research centre "Hearing Acoustics", see uol.de/en/s= fb-1330-hearing-acoustics) and by collaboration with high-profile extra uni= versity research institutions such as H=F6rTech gGmbH and Fraunhofer IDMT/HSA. They are directed by Prof. Dr. Dr. Birger K= ollmeier (see google --> images --> "Professor") who will a= lso serve as supervisor of the PhD theses described above. Until now, B. Ko= llmeier has supervised more than 75 successful PhD candidates. Most of them have consecutively pursued impressive careers in = academia, science and the industry.</p> <br> </div> <br> <p></p> </div> </body> </html> --_000_afb4df757f5c467babab2d5d54b96815unioldenburgde_--