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Audiological Research Engineer(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
2 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
French – Basic
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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Audiological Research Engineer(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
2 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
French – Basic
Benefits
Flexible Working
- •Flexible hybrid working model
Learning & Development
- •Professional and personal development
- •Individual development plans
Career Advancement
- •Exceptional growth opportunities
About the Company
Sonova AG
Industry
Healthcare
Description
The company builds systems to render speech clear and free of noise using deep learning technology, empowering people with hearing loss.
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