Scientist

Job description

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 Demant’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 ef...