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-26-0412
Direction
DRF
Thesis topic details
Category
Corpuscular physics and outer space
Thesis topics
Explainable observers and interpretable AI for superconducting accelerators and radioactive isotope identification
Contract
Thèse
Job description
GANIL’s SPIRAL1 and SPIRAL2 facilities produce complex data that remain hard to interpret. SPIRAL2 faces instabilities in its superconducting cavities, while SPIRAL1 requires reliable isotope identification under noisy conditions.
This PhD will develop observer-based interpretable AI, combining physics models and machine learning to detect, explain, and predict anomalies. By embedding causal reasoning and explainability tools such as SHAP and LIME, it aims to improve the reliability and transparency of accelerator operations.
University / doctoral school
Physique, Sciences de l’Ingénieur, Matériaux, Énergie (PSIME)
Caen
Thesis topic location
Site
Saclay
Requester
Position start date
01/10/2026
Person to be contacted by the applicant
GHRIBI ADNAN 
adnan.ghribi@ganil.fr
CNRS
GANIL
Boulevard H Becquerel
14076 Caen
0231454680
Tutor / Responsible thesis director
GHRIBI ADNAN adnan.ghribi@ganil.fr
CNRS
GANIL
Boulevard H Becquerel
14076 Caen
0231454680
En savoir plus
https://www.ganil-spiral2.eu/wp-content/uploads/2025/10/AI-SPIRAL-thesis2026.pdf