Acoustic Data Science Engineer (probes) / Ingénieur En Data Science Acoustique (probes)
GE HealthCare UK
Valbonne, France
Machine learning methods
Ultrasound transducer design
Predictive performance monitoring
This position concerns the application of machine learning (ML) methods to the ultrasound transducer design, development, and manufacturing process
Job Summary
This position concerns the application of machine learning (ML) methods to the ultrasound transducer design, development, and manufacturing process.
The successful candidate will be specifically expected to utilize their technical background to contribute and drive forward projects that will improve efficiency in design and manufacture of transducers and perform predictive performance monitoring.
Within a multidisciplinary team in Valbonne connected globally to colleagues throughout Europe, Asia and the USA, this position shall provide a unique opportunity to utilize ML to make a large impact in a global ultrasound business.
Matching Summary
This position concerns the application of machine learning (ML) methods to the ultrasound transducer design, development, and manufacturing process.
Skills & Requirements
Must-have
Machine learning methods
Ultrasound transducer design
Predictive performance monitoring
MATLAB and Python
Cloud deployment pipelines
Signal processing tasks
Nice-to-have
Work effectively autonomously
Work in global teams
Simulation-based training
Deep learning networks
Key Requirements
University degree in engineering, acoustics, physics, or applied mathematics
Masters or PhD preferred
Experience in acoustics or ultrasound measurements