Your job alert was successfully created.
CEA Tech
PhD position - Machine learning based simulation of realistic signals for an enhanced automatic diagnostic in non-destructive testing applications
CEA Tech
CEA Tech is building on CEA Leti’s successful track record innovating for industry.
Visit employer page
JOB DETAILS
Published: 1 month ago
Application deadline: Oct 31
Location: Grenoble, France
You need to sign in or create an account to save this job
Please mention that you found this job on Academic Positions when applying.
SHARE THIS JOB

PhD position - Machine learning based simulation of realistic signals for an enhanced automatic diagnostic in non-destructive testing applications

SL-DRT-19-0657

RESEARCH FIELD

Mathematics - Numerical analysis - Simulation

ABSTRACT

Model based solutions for automatic diagnostic in the field on non-destructive testing are currently a topic of great interest in both academic and industrial communities. Their ultimate objective is to provide a qualitative or quantitative evaluation of the inspected material state (sound, flawed, flawed with anomaly dimensions or criticality) in an industrial context like a production line. Such tools, providing inputs for real-time process control, contribute to the general trend in Europe that aims at modernizing Industry and services [1]. The CEA LIST institute is an internationally recognized research institution in the field of nondestructive testing. It develops the CIVA software [2], which offers multi-physics models and is considered as a leading product for simulation for NDT applications. Accurate models able to reproduce experimental signals prove very helpful in an inversion process aiming at classifying or characterizing flaws [3]. However, as they do not account for disturbances and parameters variability occurring during an experimental acquisition, simulated signals inherently look “perfect” and are, for instance, easily distinguishable from experimental data. This PhD subject aims at improving the match between simulation and experimental data, by augmenting the simulation with another contribution on can generally refer to as “noise”. The strategy proposed to obtain such noise contribution is to apply machine-learning techniques like dictionary learning to a set of representative experimental data. Alternatively, a deep learning model can be trained to analyze real data and then distinguish between contents (flaw signals) and style (the rest, which is not simulated by physical models). Afterwards, the augmented simulation tool will be able to reproduce closely experimental data, take into account specific discrepancies due to a particular environment and reproduce the variability observed experimentally. It will thus enhance the performance of model based tools developed at CEA LIST for sensibility analysis, management of uncertainty and diagnostic. REFERENCES[1] http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/dt-fof-08-2019.html[2] www.extende.com[3] M. Salucci et al., "Real-Time NDT-NDE Through an Innovative Adaptive Partial Least Squares SVR Inversion Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 11, pp. 6818-6832, Nov. 2016

LOCATION

Département Imagerie Simulation pour le Contrôle (LIST)

Laboratoire Simulation et Modélisation en Electro-magnétisme

Saclay

CONTACT PERSON

MIORELLI Roberto

CEA

DRT/DISC//LSME

CEA Saclay - Digiteo | Bat. 565-PC120 | F-91191 Gif-sur-Yvette Cedex

Phone number: 0169085057

Email: roberto.miorelli@cea.fr

START DATE

Start date on 01-09-2019

THESIS SUPERVISOR

MASSA Andrea

University of Trento, Centralesupelec

DISI - ELEDIA

ELEDIA Research CenterUniversity of Trento - DISIVia Sommarive 5, Povo 38123, Trento (Italy)

Phone number: +39 0461 282057 / +39 0461 285227

Email: andrea.massa@ing.unitn.it

« The age limit is 26 years for PhD offers and 30 years old for post-doc offers. »

Apply now
You need to sign in or create an account to save this job

APPLY FOR THIS JOB

Personal details
Upload your CV and attachments
The file format must be a .doc, .pdf, or .rtf, and the file cannot exceed 2 MB in size.
The file format must be a .doc, .pdf, or .rtf, and the file cannot exceed 2 MB in size.

By applying for a job listed on Academic Positions you agree to our terms and conditions and privacy policy.

115 JOBS FROM THIS EMPLOYER

CEA Tech
CEA Tech
Location: Grenoble, France | Closing on Oct 31
PhD position - Resistant and resilient processor to fault attacks and side-channel attacks
SL-DRT-19-0608 RESEARCH FIELD Electronics and microelectronics - Optoelectronics ABSTRACT Crypto-processors are not the only ones that are sensitive to fault attacks and side-channel attacks, CPUs are also prone to those flaws. Unfortunately, their...
CEA Tech
CEA Tech
Location: Grenoble, France | Closing on Oct 31
PhD position - Protecting binary elliptic curve cryptography against Template atttacks and Horizontal attacks
SL-DRT-19-0385 RESEARCH FIELD Mathematics - Numerical analysis - Simulation ABSTRACT This study takes place in the field of embedded systems security and the asymetric cryptography against Template and Horizontal side channel attacks. Recent studies, applied...
CEA Tech
CEA Tech
Location: Grenoble, France | Closing on Oct 31
PhD position - VHF converter incorporating innovative passive components
SL-DRT-19-0573 RESEARCH FIELD Electromagnetism - Electrical engineering ABSTRACT The aim of the thesis is to develop a very high frequency converter (> 10 MHz) and exploiting innovative passive components. The increase in frequency allows the use of smaller...
CEA Tech
CEA Tech
Location: Grenoble, France | Closing on Oct 31
PhD position - MILP models for optimal management of hybrid CSP plants
SL-DRT-19-0769 RESEARCH FIELD Thermal energy, combustion, flows ABSTRACT The hybridisation of CSP plants with "conventional" plants (existing or not) has many advantages, but in return brings more complexity in the control of the system and the steering...

CAREER ADVICE

[[excerpt]]

By [[ author ]]
Posted [[ publishingDate ]]

[[title]] ([[ nbHits ]])

[[title]] ([[ nbHits ]])

[[title]] ([[ nbHits ]])

No results found for

Search tip

  • Check for spelling mistakes
  • Reduce the number of keywords used or try using a broader search phrase
[[ name ]]
[[ name ]]
[[ excerpt ]]
[[ city ]], [[ region ]] [[ availableJobsBlock ]]
Featured Featured employer
Short list
Expand list