Subject: [AUDITORY] PhD Position at University of Oldenburg, Germany : Model-based and learning-based approaches for acoustical signal processing From: Simon Doclo <simon.doclo@xxxxxxxx> Date: Sun, 24 May 2026 21:36:37 +0200--------------BY5zOXrLaIYfNyH7JgvURsom Content-Type: text/plain; charset="UTF-8"; format=flowed Content-Transfer-Encoding: quoted-printable The Signal Processing Division at the University of Oldenburg in Germany=20 is seeking to fill the position of a *Doctoral Researcher (PhD Student) =E2=80=9CModel-based and learning-based approaches for acoustical signal=20 processing=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 hybrid=20 methods for acoustical signal processing, combining model-based=20 statistical signal processing with modern deep learning approaches.=20 Possible research directions include deep structured state-space models=20 for noise reduction and dereverberation, deep learning-aided subspace=20 methods for acoustic source localization, and interpretable DNN-based=20 beamforming techniques using multiple microphones. Candidates are required to have an academic university degree (Master or=20 equivalent) in electrical engineering, computer science, engineering=20 physics, hearing technology, or a related discipline, excellent grades,=20 and scientific experience in at least two of the following research=20 fields: speech/audio processing, statistical signal processing, machine=20 learning. More information about this position is available on=20 https://uol.de/en/job/doctoral-researcher-model-based-and-learning-based-= approaches-for-acoustical-signal-processing-1086 To apply for this position, please send your application (ref. SP265)=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 June 24, 2026.* --=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/ --------------BY5zOXrLaIYfNyH7JgvURsom Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <!DOCTYPE html> <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3DUTF= -8"> </head> <body> <p>The Signal Processing Division at the University of Oldenburg in Germany is seeking to fill the position of a<br> <br> <b>Doctoral Researcher (PhD Student)<br> =E2=80=9CModel-based and learning-based approaches for acoustical= signal processing=E2=80=9D</b><br> <br> 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=C2=A0<br> <br> The successful candidate is expected to conduct research on hybrid methods for acoustical signal processing, combining model-based statistical signal processing with modern deep learning approaches. Possible research directions include deep structured state-space models for noise reduction and dereverberation, deep learning-aided subspace methods for acoustic source localization, and interpretable DNN-based beamforming techniques using multiple microphones.=C2=A0<br> <br> Candidates are required to have an academic university degree (Master or equivalent) in electrical engineering, computer science, engineering physics, hearing technology, or a related discipline, excellent grades, and scientific experience in at least two of the following research fields: speech/audio processing, statistical signal processing, machine learning. More information about this position is available on <a class=3D"moz-txt-link-freetext" href=3D"https://uol.de/en/job/doctoral= -researcher-model-based-and-learning-based-approaches-for-acoustical-sign= al-processing-1086">https://uol.de/en/job/doctoral-researcher-model-based= -and-learning-based-approaches-for-acoustical-signal-processing-1086</a><= br> <br> To apply for this position, please send your application (ref. SP265) 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 contact details of two referees to <a class=3D"moz-txt-link-abbreviated" href=3D"mailto:si= mon.doclo@xxxxxxxx">simon.doclo@xxxxxxxx</a>. <b>The application deadline is June 24, 2026.</b></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> --------------BY5zOXrLaIYfNyH7JgvURsom--