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[AUDITORY] Oticon is hiring for an Industrial PhD Fellowship - audio signal processing & machine learning for hearing assistive devices



On behalf of my colleague Dr. Meng Guo (megu@xxxxxxxxxx) please find this opening with Oticon and Aalborg university for a fully funded PhD Industrial Fellowship.

Apply via Industrial PhD Fellowship - audio signal processing & machine learning for hearing assistive devices (oticon.global)

 

Research position at Oticon, Denmark
An industrial PhD position is offered by Oticon A/S and Dept. Electronic Systems, Aalborg University under the supervision of Dr. Meng Guo (Oticon), Prof. Jesper Jensen (Oticon/Aalborg University), and Prof. Zheng-Hua Tan (Aalborg University).

 

An Industrial PhD project is an industrial-oriented research project carried out in collaboration between a private company in Denmark, an industrial PhD student, and a university. 

 

The research will be executed mainly at Oticon – a world-leading hearing aid manufacturer, and partly at Aalborg University – one of Europe's top universities. Some traveling activities should be expected between these two sites. A fully-funded 3-year research position in the frame of a 3-year doctoral program (resulting in a PhD degree awarded by Aalborg University) is offered.The topic of the PhD project is: "Novel Feedback Prevention for Hearing Assistive Devices".

 

The project
Main functionalities in modern hearing devices include hearing loss compensation (known as compression), beamforming (microphone array processing), and noise reduction which serve the goal of improving speech intelligibility and reduce listening effort. However, the large amplification needed in hearing devices, and the fact that microphone(s) and loudspeaker are typically placed within a few centimeters from each other, create the perfect conditions for the highly undesirable phenomenon called acoustic feedback. 

 

The project focuses on solutions of the acoustic feedback problem using machine learning (ML) techniques to obtain novel feedback solutions which can better handle critical feedback situations and hence ensure that an optimal hearing loss compensation can always be provided to the users.
 

The ideal profile
You hold a master’s degree in Electrical Engineering, Computer Science, or Engineering Acoustics (or equivalent). Candidates who are in the final phase of their master’s program are equally encouraged to apply and should mention their expected graduation date.

 

This industrial PhD position is subject to academic approval. Please send an email to megu@xxxxxxxxxx if you would like to know more about the academic details.
 

More than that, you should:

  • Have a solid mathematical background (e.g., in matrix algebra, stochastic processes, etc.),
  • Have taken specialized courses in at least one of the following disciplines: Digital signal processing, audio signal processing, machine learning, and control theory.
  • Have experience with scientific computing in Matlab, Python, or similar.
  • Have excellent proficiency in the English language, as well as good communication skills, both oral and written. 

 

In addition to the above, knowledge within one or more of the following areas will be a plus: Feedback cancellation, echo cancellation, and active noise cancellation.
As a person, you work well individually and like in-depth technical understandings and challenges. You are systematic, structured, and analytical. You are open-minded, self-driven and comfortable with seeking the optimal solution through a constructive dialogue with others.

 

Why join us? 

 

We offer:

  • An exciting international research environment.
  • A thorough scientific education in the frame of a doctoral training program.
  • The possibility to participate in local as well as international courses, workshops, and conferences.
  • A PhD title from Aalborg University – one of Europe's top universities (after 3 years of successful research).
     

Interested? 

 

Then please send us:

  1. Your motivation letter with a statement of skills and research interests (max 1 page)
  2. Academic CV, including transcripts, and possibly TOEFL/IELTS results
  3. Relevant diplomas (bachelor’s and master’s degree)
  4. Names and contact information of 1-2 references

 

As we are screening applications on an ongoing basis, please send your application as soon as possible – and no later than October 14, 2022. Please note, that we only accept applications through our online recruitment system. If you would like to know more about the position, you are welcome to contact Dr. Meng Guo at megu@xxxxxxxxxx.

 

 

Niels H. Pontoppidan
Ph.D., M.Sc.E.

Principal Scientist

 

Eriksholm Research Centre
Rørtangvej 20
3070 Snekkersten
Denmark
Direct:     +45 4829 8927
Mobile:   +45 3061 5087
Email:    
npon@xxxxxxxxxxxxx

Website: www.eriksholm.com


Eriksholm pursues audiological discoveries with the potential to significantly enhance end-user benefits in future hearing care.
We work in close collaboration with academic research institutions, clinicians and end-users, and being part of Oticon ensures that our scientific insights are applied in solutions that empower people with hearing loss.

 

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