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(Post-Doc Inria + GE) Improving the early detection of failures in medical transducer manufacturing with machine learning

6 Juillet 2022


Catégorie : Post-doctorant


Dans le cadre d’un partenariat :

  • Avec General Electric Healthcare à Nice
  • Et Inria à Grenoble (équipe STATIFY)

For several years, GEHC has been carrying out a major digitalization project of its site located in Sophia Antipolis to improve the quality of the transducers it produces, to anticipate any performance drifts, to better understand their origin, and to increase the overall efficiency of its supply chain.

To do so, GEHC collects data throughout its supply chain, such as information about the materials and processes used during the transducer manufacturing, intermediate impedance measurement to detect manufacturing defects that would justify stopping the transducer fabrication, and carrying out a final acoustic performance measurement to check the quality of the transducer before delivering it to the customer.

For years, these analysis and measurement operations were done manually. Recently, GEHC has developed a digital architecture to transfer the data collected from its supply chain to the Microsoft Azure cloud, as well as a set of tools to process and analyze this data.

 

The objective of this collaboration is to set up a global methodology for the clustering/classification of manufacturing defects in GEHC transducers, as well as the prediction of their final acoustic performance. This methodology includes the definition of numerical simulation plans, the choice of relevant data transformations and adequate training of schemes for machine learning algorithms. The evaluation of this methodology will be based on numerical and experimental data provided by GEHC from its simulation models and supply chain.

The collaboration will begin in October 2022 and will last for 2 years.

The recruited candidate will work 80% of his time at GEHC in Nice, 1090 route des Crêtes – WTC bât.R, 06560 Sophia Antipolis , and 20% of his time at Inria Grenoble, 655 Av. de l'Europe, 38330 Montbonnot-Saint-Martin.

For more information see: https://recrutement.inria.fr/public/classic/fr/offres/2022-05194