- in audio signal processing and machine learning for hearing technology

Location: Oticon A/S, Copenhagen, Denmark

Are you passionate about audio technology, signal processing, and machine learning? Do you want to work on cutting-edge research that improves the lives of millions of people worldwide? Then this fully funded Industrial PhD Fellowship could be your next big step!

This is a unique opportunity to combine academic excellence with real-world impact. In this industrial PhD project, you will join Oticon A/S, a global leader in hearing aid technology, and collaborate with the Signal Processing Group at the Department of Medical Physics and Acoustics, University of Oldenburg, Germany, one of Europe’s top research institutions.

You will be based in Copenhagen, some traveling activities between Copenhagen and Oldenburg should be expected (1-2 times a year).

In addition, to foster in-depth collaboration with the University of Oldenburg, a four-month secondment is planned for the second or third year of the project.

About the Position
The PhD project aims to enhance hearing aid performance by developing advanced algorithms that integrate model-based and learning-based approaches for estimating acoustic transfer functions around and inside the ear.

These transfer functions describe how sound propagates between hearing aid microphones, speakers, and the ear canal. Accurate and individualized modeling is crucial for enabling key features in hearing aids, ultimately improving sound quality and user comfort.

You will:

• Work on innovative solutions for hearing technology using audio signal processing and machine learning, including algorithm design, implementation, and experimental validation.
• Write scientific papers for international conferences and journals.
• Participate in the research meetings and seminars at the Department of Medical Physics and Acoustics, University of Oldenburg.
• Gain experience in both academic and industrial research.
• Be supervised by Dr. Meng Guo (Oticon), Dr. Anders Meng (Oticon), and Prof. Dr. Simon Doclo (University of Oldenburg).

What We Offer

• A fully funded four-year PhD position with salary according to applicable standard schemes for PhD positions in Denmark and benefits according to Oticon policies.
• A thorough scientific education in the frame of a doctoral training program.
• An exciting international research environment.
• Access to state-of-the-art acoustical labs and computing facilities.
• Opportunities to attend international conferences, workshops, and training programs.
• A PhD degree from University of Oldenburg upon successful completion.
• Our mobility department can support on the practical issues of relocation, if relevant.

Your Profile

• Master’s degree (or near completion) in Electrical Engineering, Computer Science, Engineering Acoustics, or related fields, with strong grades (at least top 30% in your year group).
• Strong mathematical background and experience in signal processing and machine learning.
• Have taken specialized courses in at least one of the following disciplines: Digital signal processing, audio signal processing, machine learning, and control theory.
• Programming skills in Matlab, Python, or similar.
• Excellent English communication skills, both oral and written.

Knowledge of feedback cancellation, echo cancellation, or active noise control is a plus.

As a person, you thrive both independently and in collaboration. You enjoy tackling complex technical challenges and gaining deep insights. Your approach is systematic, structured, and analytical. At the same time, you are open-minded, self-driven, and confident in finding the optimal solution through constructive dialogue with others.

Ready to Apply?
Apply via our online recruitment system and send us:

• Motivation letter with a statement of skills and research interests (max 1 page)
• Academic CV
• Copies of the university transcripts and diplomas (Bachelor’s and Master’s)

Deadline: March 22., 2026 (applications are reviewed on an ongoing basis).

For questions, you are welcome to contact Meng Guo ([email protected]).

We look forward to hearing from you.

At Demant we value diversity, equity and inclusion (DE&I) and we are committed to creating an inclusive working environment. We welcome applications from all qualified candidates regardless of ethnic background, personality, age, gender, and education. Diversity is part of our cultural DNA. Women in STEM areas are particularly encouraged to apply, as Demant supports United Nations Sustainable Development Goal 5 on gender equality.

Industrial PhD Researcher
Smørum, DK, 2765