[AUDITORY] PhD Position at University of Oldenburg, Germany : DNN-based multi-modal speech enhancement for hearing devices (Simon Doclo )


Subject: [AUDITORY] PhD Position at University of Oldenburg, Germany : DNN-based multi-modal speech enhancement for hearing devices
From:    Simon Doclo  <simon.doclo@xxxxxxxx>
Date:    Sun, 9 Nov 2025 15:53:57 +0100

--------------RiRfN0qVn0J6LcNMmtotWQSo Content-Type: text/plain; charset="UTF-8"; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum4.it.mcgill.ca id 5A9Es49W021155 The Signal Processing Division and the Collaborative Research Centre=20 Hearing Acoustics at the University of Oldenburg in Germany are seeking=20 to fill the position of a *Doctoral Researcher (PhD Student) ** **=E2=80=9CDNN-based multi-modal speech enhancement for hearing devices=E2= =80=9D* The position is available as soon as possible for initially 3 years,=20 with salary according to TV-L E13 (75%), corresponding to about 3.500 =E2= =82=AC=20 per month before taxes (exact amount depending on experience and=20 qualifications). The successful candidate is expected to conduct research on speech=20 enhancement algorithms for hearing devices in dynamic acoustic=20 environments with multiple talkers, including algorithm design,=20 implementation, and experimental validation. A central element is the=20 use of multi-modal sensor data, e.g., electrooculography (EOG) and head=20 orientation (accelerometer) in combination with the microphone signals=20 from the hearing devices. Algorithm design will involve a combination of=20 signal processing and machine learning methods. Candidates are=C2=A0required to have an academic university degree (Maste= r or=20 equivalent) in electrical engineering, biomedical engineering, computer=20 science, engineering physics, hearing technology or a related=20 discipline, excellent grades, and scientific experience in at least two=20 of the following research fields: speech/audio signal processing,=20 biomedical signal processing, machine learning. More information about=20 this position is available on=20 https://uol.de/en/job/doctoral-researcher-dnn-based-multi-modal-speech-en= hancement-for-hearing-devices-807 To apply for this position, please send your application (ref. SP261)=20 including a letter of motivation with a statement of skills and research=20 interests (max. 1 page), curriculum vitae, copies of university diplomas=20 and transcripts, and contact details of two referees to=20 simon.doclo@xxxxxxxx *The application deadline is 30.11.2025.* --=20 _______________________________________________ Prof. Dr. ir. Simon Doclo University of Oldenburg Dept. of Medical Physics and Acoustics D-26111 Oldenburg Germany Tel: +49-441-7983344 Mob: +49-176-62994725 Fax: +49-441-7983902 simon.doclo@xxxxxxxx http://www.sigproc.uni-oldenburg.de/ --------------RiRfN0qVn0J6LcNMmtotWQSo Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum4.it.mcgill.ca id 5A9Es49W021155 <!DOCTYPE html> <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3DUTF= -8"> </head> <body> <p>The Signal Processing Division and the Collaborative Research Centre Hearing Acoustics at the University of Oldenburg in Germany are seeking to fill the position of a</p> <p><b>Doctoral Researcher (PhD Student) </b><b><br> </b><b>=E2=80=9CDNN-based multi-modal speech enhancement for hearin= g devices=E2=80=9D</b></p> <p>The position is available as soon as possible for initially 3 years, with salary according to TV-L E13 (75%), corresponding to about 3.500 =E2=82=AC per month before taxes (exact amount dependin= g on experience and qualifications). =C2=A0<br> </p> <p>The successful candidate is expected to conduct research on speech enhancement algorithms for hearing devices in dynamic acoustic environments with multiple talkers, including algorithm design, implementation, and experimental validation. A central element is the use of multi-modal sensor data, e.g., electrooculography (EOG) and head orientation (accelerometer) in combination with the microphone signals from the hearing devices. Algorithm design will involve a combination of signal processing and machine learning methods.</p> <p>Candidates are=C2=A0required to have an=C2=A0<span lang=3D"EN-US" = dir=3D"ltr">academic university degree (Master or equivalent) in electrical engineering, biomedical engineering, computer science, engineering physics, hearing technology or a related discipline,=C2=A0</span><span lang=3D"EN-US" dir=3D"ltr">excellen= t grades, and=C2=A0</span><span lang=3D"EN-US" dir=3D"ltr">scientif= ic experience in at least two of the following research fields: speech/audio signal processing, biomedical signal processing, machine learning.=C2=A0</span>More information about this positio= n is available on=C2=A0<a class=3D"moz-txt-link-freetext" href=3D"https://euraxess.ec.europa.eu/jobs/83311">https://uol.de/= en/job/doctoral-researcher-dnn-based-multi-modal-speech-enhancement-for-h= earing-devices-807</a></p> <p>To apply for this position, please send your application (ref. SP261) including a letter of motivation with a statement of skills and research interests (max. 1 page), curriculum vitae, copies of university diplomas and transcripts, and=C2=A0<span lang=3D"EN-US" dir=3D"ltr">contact details of two referees=C2=A0</span>to <a class=3D"moz-txt-link-abbreviated moz-txt-link-freetext" href=3D"mailto:simon.doclo@xxxxxxxx">simon.doclo@xxxxxxxx</a>. <b>The application deadline is 30.11.2025.</b></p> <p><br> </p> <pre class=3D"moz-signature" cols=3D"72">--=20 _______________________________________________ Prof. Dr. ir. Simon Doclo University of Oldenburg Dept. of Medical Physics and Acoustics D-26111 Oldenburg Germany Tel: +49-441-7983344 Mob: +49-176-62994725 Fax: +49-441-7983902 <a class=3D"moz-txt-link-abbreviated" href=3D"mailto:simon.doclo@xxxxxxxx= nburg.de">simon.doclo@xxxxxxxx</a> <a class=3D"moz-txt-link-freetext" href=3D"http://www.sigproc.uni-oldenbu= rg.de/">http://www.sigproc.uni-oldenburg.de/</a> </pre> </body> </html> --------------RiRfN0qVn0J6LcNMmtotWQSo--


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