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The Acoustics Division at the Department of Medical Physics and Acoustics, University of Oldenburg, Germany, seeks as
soon as possible a motivated
PhD student (m/f/d, 75% of full time TV-L 13 position, 3 years)
The research focus of this project is developing methods for speaker separation and enhancement in complex acoustical scenes using machine learning approaches and techniques from
the field of computational auditory scene analysis.
The project is funded by the DFG collaborative research centre CRC 1330 Hearing Acoustics. The CRC 1330 Hearing Acoustics aims for a better understanding of human acoustic communication
and is a long-term collaboration of researchers from Oldenburg, Aachen and Munich. For more information about the project see https://uol.de/en/sfb-1330-hearing-acoustics/section-b-algorithms/b2-auditory-scene-analysis.
Applicants for the position must have a completed scientific university degree (Master or Diploma (Uni)) in Hearing Technology & Audiology, Physics, Engineering or a related discipline.
In addition, applicants should have solid knowledge in at least one of the following areas:
Candidates are expected to publish in peer reviewed international journals and to have an interest in interdisciplinary work. In addition, candidates are expected to have experience
with scientific tools and programming languages such as MATLAB, and to be proficient in English both in spoken word and in writing.
The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply.
In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification.
Applications including a CV, a motivation letter, copies of the most important certificates and the name and contact details of at least one person who is willing to give a reference
should be sent as a single pdf-file to steven.van.de.par@xxxxxxxxxxxxxxxx or
to
Prof. Dr. Ir. Steven van de Par
Applications per email are preferred. The application deadline is September
4th, 2022. For further information please contact Prof. Steven van de Par. |