Doctoral Researcher (PhD Student) “Model-based and learning-based approaches for acoustical signal processing”
The Signal Processing Division (http://www.sigproc.uni-oldenburg.de) at the University of Oldenburg in Germany is seeking to fill the position of a
Doctoral Researcher (PhD Student)
“Model-based and learning-based approaches for acoustical signal processing”
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 € per month before taxes (exact amount depending on experience and qualifications). More information about this position is available on https://uol.de/en/job/doctoral-researcher-model-based-and-learning-based-approaches-for-acoustical-signal-processing-1086
The main activities of the Signal Processing Division center around signal processing for acoustical and biomedical applications, with a focus on hearing aids and speech communication devices. More specifically, research topics in the areas of microphone array processing, speech enhancement and acoustic scene analysis are addressed, using a combination of model-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access to excellent high-performance computing facilities, measurement equipment and labs, e.g., a unique lab with variable acoustics (see demos on YouTube channel: https://www.youtube.com/@signalprocessingunioldenbu1018)
Your tasks
- 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.
- publish research results in scientific journals
- present research findings and actively participate in international conferences
- actively contribute to research meetings and seminars in the Department of Medical Physics and Acoustics
- supervise student projects and contribute to teaching activities (3 hours per week)
Your profile
Required qualifications
- academic university degree (Master or equivalent) in electrical engineering, computer science, engineering physics, hearing technology, or a related discipline
- excellent grades in digital signal processing and machine learning courses
- knowledge and scientific experience in at least two of the following research fields: speech/audio processing, statistical signal processing, machine learning
- very good programming skills (e.g., python, Matlab)
- very good written and spoken English language skills
Preferred qualifications:
- experience with DNN-based speech enhancement or source localization algorithms
- good communication skills
- ability to work in a team
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 simon.doclo@uol.de. The application deadline is June 24, 2026.