The Signal Processing Division and the Collaborative Research Centre Hearing Acoustics at the Department of Medical Physics and Acoustics, Faculty of Medicine and Health Sciences are seeking to fill the position of a Research Scientist (PhD Student) in Acoustical Signal Processing The position is available from 01.07.2021 for 3 years, with salary according to TV-L E13 (75 %). The main activities of the Signal Processing Division (https://www.uol.de/en/sigproc/) centre around signal processing for acoustical and biomedical applications. More specifically, research topics in the areas of microphone array processing, speech enhancement and acoustic scene analysis are addressed, with an application focus towards hearing aids and speech communication devices. The Collaborative Research Centre Hearing Acoustics (https://uol.de/en/sfb-1330-hearing-acoustics) aims at a fundamentally better quantitative understanding of the principles underlying the processing of complex auditory and audio-visual scenes, the implementation of this knowledge in algorithms for perceptual enhancement of acoustic communication, and the evaluation of these algorithms for different applications. The successful candidate is expected to contribute to project B2 Computational Auditory Scene Analysis algorithms for improving speech communication in complex acoustic environments. Responsibilities/Tasks
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The Universität of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification. To apply for this position, please send your application (ref. SP212) including a letter of motivation with a statement of skills and research interests (max. 1 page), curriculum vitae, and a copy of the university diplomas and transcripts to Universität Oldenburg, Fakultät VI, Abt. Signalverarbeitung, Prof. Dr. Simon Doclo, 26111 Oldenburg, Germany, or electronically to . Application by email is preferred. The application deadline is 16.04.2021.
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