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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial EquipmentCEA • Grenoble
PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment

PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment

CEA • Grenoble
Il y a plus de 30 jours
Type de contrat
  • Temporaire
Description de poste

Position description

Category

Electronics components and equipments

Contract

Fixed-term contract

Job title

PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment

Socio-professional category

Executive

Contract duration (months)

36 months

Job description

Power converters are essential in numerous applications such as industry, photovoltaic systems, electric vehicles, and data centers. Their conventional maintenance is often based on fixed schedules, leading to premature replacement of components and significant electronic waste.

This PhD project aims to develop a novel non-invasive and low-cost ultrasound-based monitoring approach to assess the state of health and remaining useful life (RUL) of power converters deployed across various industries.

The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance strategies executed locally (edge deployment).

The research will be carried out within a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, offering international training, interdisciplinary collaboration, and secondments at leading academic and industrial partners across Europe (Italy and Netherlands for this PhD offer).

More information :

Applicant Profile

•Master’s degree (or equivalent) in signal processing, applied physics, electrical/electronic engineering, or data science with an interest in physical systems.


•Strong motivation for interdisciplinary research, solid foundation in power electronics and AI techniques.


•The candidate must not have resided or carried out his/her main activity (work, studies) in France for more than 12 months in the past 3 years (MSCA’s mobility rule).


•Good command of English (written and spoken) mandatory.

Position location

Site

Grenoble

Job location

France, Auvergne-Rhône-Alpes, Isère (38)

Location

Grenoble

Candidate criteria

Languages

English (Fluent)

Recommended training

MSc. in signal processing, applied physics, power electronics or electrical engineering

Requester

Position start date

01/01/2026

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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment • Grenoble

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