Industrial PhD Fellowship: Join Oticon A/S in collaboration with the University of Oldenburg for a fully funded Industrial PhD Fellowship focused on audio technology, signal processing, and machine learning aimed at improving hearing aid performance.
Industrial PhD Fellowship in Audio Signal Processing and Machine Learning
Designation
Industrial PhD Researcher
| Field | Details |
|---|---|
| Research Area | Audio Signal Processing and Machine Learning |
| Location | Oticon A/S, Copenhagen, Denmark |
| Collaborating Institution | University of Oldenburg, Germany |
| Duration | Four years |
Eligibility/Qualification
- Master’s degree (or near completion) in Electrical Engineering, Computer Science, Engineering Acoustics, or related fields with strong academic performance (top 30% in your group).
- Strong mathematical background with experience in signal processing and machine learning.
- Specialized courses in Digital Signal Processing, Audio Signal Processing, or related disciplines.
- Programming skills in Matlab, Python, or similar.
- Excellent English communication skills (both oral and written).
Description
The PhD project aims to enhance hearing aid performance through the development of advanced algorithms that integrate model-based and learning-based approaches for estimating acoustic transfer functions. These functions are crucial for improving sound quality and user comfort in hearing aids. As part of the research, the candidate will:
- Work on innovative solutions in audio signal processing and machine learning.
- Write scientific papers for conferences and journals.
- Participate in research meetings and seminars.
- Gain experience in both academic and industrial research settings.
How to Apply
To apply, please submit the following documents via the online recruitment system:
- A motivation letter outlining skills and research interests (max 1 page).
- Academic CV.
- Copies of university transcripts and diplomas (Bachelor’s and Master’s).
Last Date to Apply
March 22, 2026 (Applications will be reviewed on an ongoing basis).
For any queries, please contact Meng Guo at megu@oticon.com.
This opportunity not only provides a pathway for academic growth but emphasizes collaboration between industry and academia, positioning candidates to make significant contributions in the field of hearing technology.
