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Deep learning applied to solve inverse problems for interferometry


Thesis topic details

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France
  

Reference

SL-DAM-25-0467  

Direction

DAM

Thesis topic details

Category

Engineering science

Thesis topics

Deep learning applied to solve inverse problems for interferometry

Contract

Thèse

University / doctoral school

Génie Electrique - Electronique - Télécommunications (GEET)
Toulouse III

Thesis topic location

Site

Gramat

Requester

Position start date

01/09/2025

Person to be contacted by the applicant

LEFRANCOIS Alexandre alexandre.lefrancois@cea.fr
CEA
DAM/DEA//DEA
Centre CEA Gramat
BP80200
46500 Gramat
0565105207

Tutor / Responsible thesis director

AUBERT Hervé herve.aubert@enseeiht.fr
INP Toulouse / ENSEEIHT
LAAS-CNRS
INP Toulouse
2, rue Charles Camichel
31071 TOULOUSE Cedex 7

0561336361

En savoir plus


https://www.laas.fr/fr/
https://www-dam.cea.fr/