Summary
The University of Oldenburg is inviting applications for a Doctoral Researcher position in the field of acoustical signal processing. This position offers an opportunity to explore hybrid methods combining model-based statistical techniques and machine learning approaches. The role is based in the School VI of Medicine and Health Sciences, Department of Medical Physics and Acoustics.
Doctoral Researcher Position in Model-Based and Learning-Based, University of Oldenburg, Germany
Designation
Doctoral Researcher
Table of Information
| Attribute | Details |
|---|---|
| Pay Grade | E13 TV-L |
| Working Hours | 75% |
| Institution | School VI of Medicine and Health Sciences, Department of Medical Physics and Acoustics |
| Location | Oldenburg (Oldb), Germany |
| Application Deadline | June 24, 2026 |
| Start Date | As soon as possible |
| Duration | Initially limited to 3 years |
Research Area
The position focuses on hybrid acoustical signal processing methods, particularly in:
- Deep structured state-space models for noise reduction and dereverberation
- Deep learning-aided subspace methods for acoustic source localization
- Interpretable DNN-based beamforming techniques using multiple microphones
Eligibility/Qualification
Required Qualifications:
- Academic university degree (Master or equivalent) in relevant fields such as electrical engineering, computer science, engineering physics, or hearing technology
- Excellent academic performance in digital signal processing and machine learning courses
- Knowledge and scientific experience in at least two of the following fields: speech/audio processing, statistical signal processing, machine learning
- Strong programming skills (e.g., Python, Matlab)
- Proficient in written and spoken English
Preferred Qualifications:
- Experience with DNN-based speech enhancement or source localization algorithms
- Good communication and teamwork skills
Job Description
- Conduct research on hybrid methods for acoustical signal processing.
- Publish findings in scientific journals and present research at international conferences.
- Actively participate in departmental meetings and seminars, supervise student projects, and contribute to teaching activities (3 hours per week).
How to Apply
Interested candidates should send their applications via email to Prof. Dr. Simon Doclo at simon.doclo@uni-oldenburg.de by the application deadline. Applications should include:
- A letter of motivation (max. 1 page)
- Curriculum vitae
- Copies of university diplomas and transcripts
- Contact details of two referees
Last Date to Apply
June 24, 2026
For more information, you can visit the University of Oldenburg’s Signal Processing Division or contact Prof. Dr. Simon Doclo directly.
