Scientist

Scientist – Computational Audiology & Machine Learning

Do you want to improve the lives of millions with hearing loss?

At Eriksholm Research Centre, we are looking for a highly motivated scientist to work at the intersection of machine learning, real‑world audiological data, and translational research.

You will help bridge research insights with scalable, real‑world audiological solutions that aim to support hearing care professionals and hearing aid users globally.

Your Role

This position is ideal for you who enjoy working with complex, real‑world datasets and transforming models into tangible insights for clinical and applied hearing care applications.

You will research and apply machine‑learning approaches for “computational audiology”, focusing on how real‑world data can be used to predict hearing aid outcomes and satisfaction.

Your work will span from detailed research data, such as from experience sampling studies collected at Eriksholm, to large‑scale in‑market data hosted on [xxxxx]’s cloud storage platform.

Example Research & Application Themes:

• Predicting hearing aid satisfaction from a combination of data sources.
• Decision-support models that can increase clinical efficiency.
• Translating research data into lightweight, scalable representations suitable for in‑market deployment.
• Clustering and population‑level labeling of in-market hearing aid fitting data.

Responsibilities

In this position, you will:

• Develop machine‑learning models for translational audiological applications.
• Collaborate with stakeholders across research, development, and commercial teams.
• Work with data structures and modeling approaches between Eriksholm research data and [xxxxx] cloud-based storage platforms.
• Support R&D through scientific documentation and demonstrators.
• Publish in peer‑reviewed journals and present work at international audiology conferences.

You will be located partly at our site in Snekkersten and partly at our site in Smørum.

What We Offer You

You will join a research environment with access to data and collaboration opportunities that are rarely available in academia:

• Join a team of 35+ scientists, with a unique opportunity to work with world‑leading audiological research data.
• Work closely with Scientists, Research Audiologist and Researchers working with evidence studies across Eriksholm, and collaborate with clinicians, research institutions, and industry partners.
• A role with real societal impact, helping shape how hearing aids are fitted and personalized worldwide using large‑scale, real‑world hearing data.
• Strong support for scientific publication and international visibility.
• Scientific guidance from Eriksholm Principal Scientists, and line management from Sergi Rotger Griful, who focuses on ownership, direction, and helping people grow.
• What your work looks like: you will bridge research and application, developing models on real-world datasets and translating them into insights and prototypes that stakeholders can use.

What we are looking for

Qualifications:

• PhD degree (postdoctoral or equivalent level) in a relevant field, such as Applied Machine Learning, Mathematical Modeling, Computer Science, Data Science / Data Engineering, Biostatistics, Social Data Science, or Computational Audiology.
• Early-career researcher, typically within ~5 years since PhD degree.
• Experience with applied machine learning on real‑world data.
• Solid programming, statistical, data‑engineering skills and cloud-based platforms.
• Experience translating analytical methods into operational algorithms.
• Evidence of research output and/or impact appropriate to career stage (e.g., publications, software, data resources, clinical translation, or equivalent).
• It is important that you can start onsite from day one.

About Eriksholm

Eriksholm pursues audiological discoveries with the potential to significantly enhance customer and end-user benefits in future hearing care. We are part of Oticon’s R&D department, ensuring that our scientific insights are applied in solutions that empower people with hearing loss.

We are a multi-cultural and multi-disciplinary team of scientists that respect and support one another and we work in a very informal environment. We are all dedicated to exploring the unknown and committed to excellence, and we have scientific integrity and room for taking chances

You can find more information about us at [xxxxx] Do you want to join Eriksholm Research Centre?

If this opportunity appeals to you, please submit your application and CV no later than 17th of May.

Expected interviews:

1st interviews: 27th and 29th of May, and 1st of June 2026.

2nd interviews: 16th and 17th of June 2026.

If you would like to know more about the position, please contact Sergi Rotger Griful, Senior Research Manager: [xxxxx] Please note: We only accept applications via our online platform, and we are not interested in inquiries from external suppliers.

At [xxxxx] 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.

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