Audiology AI Engineer — Algorithms, Data & Growth

Joinimagine; Stäfa; Hybrid; CHF 120.000 - 165.000; Vollzeit

Benefits dieser Stelle

Hybrid working model

Comprehensive training

Growth opportunities

Zusammenfassung

Sonova in Switzerland seeks a research-driven professional to translate product needs into algorithmic specifications for audiological functionalities within the EXAM model. You will develop algorithms and prototypes, propose improvements from study outcomes and verify results.

Engagement includes analyzing big data, supporting product launches and publications, and collaborating with an interdisciplinary team in a flexible hybrid setup. Fluency in English is essential; German is a plus.

Qualifikationen

• University degree in a scientific or technical discipline; PhD is a plus.
• Experience in modelling complex relationships and applying statistics.
• Familiarity with Python, MATLAB and object-oriented software development.
• Interest in AI-assisted software development.
• Knowledge of psychoacoustics, electroacoustics or signal processing is a plus.
• Fluent English; German is desirable.

Aufgaben

• Translate product needs into algorithmic specifications for audiological functions in EXAM.
• Develop audiological algorithms, models and prototypes.
• Propose algorithmic changes based on study outcomes.
• Conduct measurements and evaluate results.
• Analyze big data and verify implemented functionalities.
• Support Marketing with product launches and publications.

Kenntnisse

Python

MATLAB

Statistics

OO programming

AI development

English fluency

Ausbildung

Physics/Electrical Engineering degree

PhD advantageous

Tools

Python (software dev)

MATLAB (signal processing)

Jobbeschreibung

Sonova in Switzerland seeks a research-driven professional to translate product needs into algorithmic specifications for audiological functionalities within the EXAM model. You will develop algorithms and prototypes, propose improvements from study outcomes and verify results.

Engagement includes analyzing big data, supporting product launches and publications, and collaborating with an interdisciplinary team in a flexible hybrid setup. Fluency in English is essential; German is a plus.