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-DRF-27-0205
Direction
DRF
Thesis topic details
Category
Corpuscular physics and outer space
Thesis topics
Towards Intelligent VAMOS++: Physics-Informed AI for Adaptive and Reproducible Nuclear Instrumentation
Contract
Thèse
Job description
Recent developments at GANIL have demonstrated the opportunities opened by AI methods for trajectory reconstruction, particle identification and self-supervised detector calibration in the VAMOS++ magnetic spectrometer and associated detectors for fission studies.
This PhD project will extend these advances into an integrated framework for intelligent instrumentation, combining calibration, reconstruction, and performance monitoring. The objective is to develop robust, scalable and transferable methods that adapt to changing experimental conditions while preserving the reliability of physical observables.
University / doctoral school
Physique, Sciences de l’Ingénieur, Matériaux, Énergie (PSIME)
Caen Normandie
Thesis topic location
Site
Saclay
Requester
Position start date
01/10/2026
Person to be contacted by the applicant
REJMUND Maurycy 
maurycy.rejmund@ganil.fr
CEA
DRF/IRFU//GANIL
GANIL
Boulevard Henri Becquerel
14076 CAEN
Tutor / Responsible thesis director
LEMASSON Antoine lemasson@ganil.fr
CNRS
GANIL/Grand Accélérateur National d’Ions Lourds
Bld Henri Becquerel
0231454724
En savoir plus
https://www.ganil-spiral2.eu/wp-content/uploads/2026/10/MLVAMOS-thesis2027.pdf