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SOSonova AG

Audiological Research Engineer(m/w/x)

Stäfa
Full-timeOn-siteExperienced
AI/ML

You will drive audiological innovation by bridging the gap between research and deployable AI features, collaborating with experts to transform complex data into life-changing hearing solutions.

Requirements

  • Master’s degree in engineering, audiology, computer science, physics, or related natural sciences; PhD in a related field is a plus
  • At least 2 years of development experience using Python or similar programming languages
  • Strong background in signal processing and its application to audio or audiology data
  • Experience in developing functionality for medical devices or in performing diagnostic hearing testing & fitting of hearing devices is an advantage
  • Familiarity with large-scale data processing or statistical analysis is a plus
  • Profound Knowledge in evaluation methods (HI verification, electroacoustic performance, subjective testing), fitting procedures, implementing and recording technical measurements in the lab
  • Knowledge of audiological acoustics, psychoacoustics normal and hearing impaired
  • Basic knowledge of deep learning
  • Strong problem-solving and analytical skills with high-quality awareness
  • Very good English skills in both verbal and written communication and good German or French in verbal communication is a plus

Tasks

  • Design and analyze experiments using clinical and biomedical data
  • Collaborate with audiologists and engineers to translate research into tools
  • Develop prototypes and integrate innovative functions into product platforms
  • Create new test methods to validate audiological concepts
  • Evaluate AI features through technical lab measurements
  • Conduct studies with expert listeners and manage clinical documentation
  • Monitor research in machine learning and audio signal processing
  • Transfer technical knowledge and clarify requirements for product teams
  • Coordinate and monitor internal and external clinical studies
  • Analyze results to propose implementations for company systems

Work Experience

2 years

Education

Master's degree

Languages

EnglishBusiness FluentGermanBasicFrenchBasic

Tools & Technologies

PythonDeep learning

Benefits

Flexible Working

  • Flexible hybrid working model

Learning & Development

  • Professional and personal development
  • Individual development plans

Career Advancement

  • Exceptional growth opportunities
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