Dear members of the auditory list,
I would like to announce an open position in Augmented Hearing group at Eriksholm Research Centre, Snekkersten, Denmark as an Industrial Postdoc
within contextual modeling of hearing aid user preferences. To apply please go to
https://www.oticon.global/about/jobs/careers/open-positions/job-details2?id=9338. For more information contact Senior Scientist Michael Petersen at
MKPE@xxxxxxxxxxxxx.
Best regards
Niels Pontoppidan, Manager Augmented Hearing, Eriksholm Research Centre
Copy of the description:
The Augmented Hearing Group at Eriksholm Research Centre and Cognitive Systems Group at DTU Compute are looking for a candidate for a fully
funded three-year Postdoc on the topic of “Modeling the preferences of hearing aid users by combining context data with natural language understanding” to start in the mid-2019.
The Postdoc opportunity is funded through the industrial Postdoc program of the Innovation Foundation of Denmark, and therefore limited to
candidates who received their PhD within the last 5 years. Furthermore, the candidate has not been employed more than 6 months in a private sector company within the healthcare industry. The Postdoc will be a full-time employee of Augmented Hearing Group at
Eriksholm Research Centre which is part of Oticon and associated as a Postdoc with the Cognitive Systems Group at DTU Compute, The Technical University of Denmark.
The scope
The introduction of internet connected hearing aids constitutes a paradigm shift as traditional signal processing can now be complemented with
AI neural network models implemented on a smartphone. This facilitates learning the audiological preferences of hearing-impaired users in real life listening scenarios. Combining sound environment data with natural language understanding AI, hearing aids can
be transformed into digital voice assistants, which through user dialogues are able to learn the optimal hearing aid settings dependent on the context. Based on research collaboration with Cognitive Systems Group, DTU Compute, the aim is to apply AI to not
only enhance user experience by personalizing each hearing aid, but also radically improve treatment of patients by learning audiological insights from securely shared healthcare data crowdsourced from large amounts of users.
To be eligible
You hold a PhD in acoustic engineering, natural language understanding, machine learning, or cognitive science with experience in computational
modeling of user preferences, internet of things data, or auditory perception using high level machine learning methods.
To be successful in completing this project you should preferably have good knowledge of Python programming using high level AI deep learning
frameworks such as Keras/TensorFlow.
You are good at communication complex topics in an easy understandable way, and you are fluent in writing and speaking English, as our corporate
language is English.
Your application must include
-
Cover letter
-
A complete CV including descriptions of relevant courses, projects and publications
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Two contact references from university supervisor or private sector company managers; we will not contact them without your prior acceptance
-
Copy of PhD, MSc, BSc diplomas
NB: Candidates may apply prior to obtaining their PhD degree but cannot begin before having received it. All interested candidates irrespective
of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Application and contact
Please send your application and CV online only . We are interviewing relevant candidates on a continuous basis so please send you relevant
documents no later than July 31, 2019. To learn more about this opportunity please contact
Senior Scientist Michael Kai Petersen mkpe@xxxxxxxxxxxxx, Augmented Hearing at Eriksholm Research Centre.
About Augmented Hearing and DTU Cognitive Systems Group
Augmented Hearing is a research group at Eriksholm Research Centre focusing on solving audiological challenges with data and our latest research has demonstrated how speech data enables the separation of individual voices
and how hearing aid data reveals behavioral patterns in the use of hearing aids. Eriksholm’s research has a strong international track record in applied science. We closely collaborate with leading universities around the world for finding the best solutions
for the hearing healthcare of the future. Our efforts aim at implementing clinical audiology solutions supported by electronic processes and communication. We focus on the needs of people with hearing impairment and their clinicians. Our research does not
only generate publications and patents, but also transforms the clinical practice and the operations of large health care providers. Eriksholm Research Centre is part of Oticon, a world leader in hearing care and one of the companies in the Demant group, which
has more than 14.000 employees across the world and revenues of DKK 14 billion.
DTU Compute’s Section for Cognitive Systems is a lively and research-oriented group of scientists and support staff, sharing an interest in information processing in man and computer, with a particular focus on the signals
they exchange - audio, imagery, behavior - and the opportunities these signals offer for modeling and engineering of cognitive systems. The section has a strong track record in research related to AI, Machine Learning, and sound.
Niels H. Pontoppidan
Ph.D., M.Sc.E.
Research Area Manager, Augmented Hearing
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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