Real-time Monitoring of The Remaining Useful Life - Leuven, België - IMEC Inc.
Beschrijving
Real-time monitoring of the remaining useful life of an electronic system with a data-based approachResearch & development - Leuven | Just now- PhD position
- What you will do
- The aim of this PhD track is to develop an AI methodology, using machine learning (ML) approaches, to predict the remaining useful lifetime of electronic systems by fusing data obtained from both sensors and simulations. The idea is to use the MLbased approach to compensate for the limitations of an approach that relies solely on simulations (uncertainty on the material parameters etc.). The simulation data will be based on a model developed in a parallel PhD track with which close collaboration is expected. Experimental validation of the methodology will also be carried out.
What we do for you Expected start date:
The individual PhD project is set to start between and Who you are- The requirements for this position are:
- Specific Eligibility Criteria on the
Horizon Europe:
Marie Skłodowska-Curie (MSCA) programme apply, including the mobility rule and PhD rules. Applicants of any nationality are welcome.
- An experience with statistics and machine learning is a strong plus.
- English proficiency.
- CV* and Letter of motivation
- Letter of recommendation
- English language proficiency certificate(s) (not for native speakers)
imec inside out
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