Description

The Signal Processing Division and the Cluster of Excellence Hearing4all.connects at the University of Oldenburg in Germany are seeking to fill the position of a

Research Associate (Postdoc) 
“Speech and audio foundation models for hearing aid processing”

The position is available as soon as possible for initially 3 years, with salary according to TV-L E13 (100%), corresponding to at least 4.750 € per month before taxes (exact amount depending on experience and qualifications). More information about this position is available on https://uol.de/en/job/research-associate-speech-and-audio-foundation-models-for-hearing-aid-processing-1011

The position is embedded within the Signal Processing Division (http://www.sigproc.uni-oldenburg.de) and the Cluster of Excellence Hearing4all.connects. 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 the use of speech and audio foundation models for real-time sound processing algorithms for hearing aids (e.g., acoustic scene analysis, noise reduction, speaker separation), including algorithm design, implementation, and experimental validation
• conduct research on distributed deep-learning-based algorithms for hearing aids, e.g., by offloading computationally intensive tasks to a more powerful external device such as a smartphone
• close collaboration with cooperation partners of the project
• publish research results in scientific journals
• active participation in international conferences
• active participation in research meetings and seminars of the Cluster of Excellence Hearing4all.connects and the Department of Medical Physics and Acoustics
• supervise students

To apply for this position, please send your application (ref. SP262) including a letter of motivation with a statement of skills and research interests (max. 1 page), curriculum vitae, list of publications, copies of university diplomas and transcripts, and contact details of two referees to simon.doclo@uol.de . The application deadline is 15.05.2026.

Requirements

Required qualifications:

• academic university degree (Master or equivalent) in electrical engineering, computer science, applied physics, or a related discipline
• demonstrated ability to produce excellent scientific work, typically through the outstanding quality of the doctoral thesis
• excellent publication record
• extensive knowledge and experience in speech/audio signal processing and machine learning
• excellent programming skills (e.g., python, Matlab)
• excellent written and spoken English language skills

Preferred qualifications:

• experience with speech and audio foundation models
• experience with signal processing algorithms for hearing devices
• experience with distributed signal processing or machine learning methods
• good communication skills
• ability to work in a team