PhD, Post doctoral position in Bayesian Causal Graph and,uncertainty quantification – Application to the anomaly,detection on light line of the Synchrotron. CEA-Saclay. In collaboration with and Lorraine University MICS
Marianne Clausel
We advertise one PhD and Post doc position in the field of causality.
Deadline
for application July 20
More information in the joint pdfs
Contacts : A.LOMET (Aurore...@cea.fr), M.Clausel (marianne...@univ-lorraine.fr) and M.Tami (yriam tami <myria...@centralesupelec.fr>)
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Within the LIAD laboratory (Laboratory of Artificial Intelligence and Data Science) belonging to the SGLS
service (Software Engineering Service for Simulation), you will work in a team specialized in handling uncertainties in numerical simulation. You will contribute to the strengthening of these activities through the DAL-
LIAE postdoctoral project, which aims for Anomaly Detection on Synchrotron Beamlines through Explainable
Artificial Intelligence.
These PhD and postdoctoral position is part of a collaboration between various CEA teams (LIAD, NRX – Nanostruc-
tures and X-Rays Team in Grenoble), the university of Lorraine, Centralesupelec and the European Synchrotron (ESRF), each
bringing distinct skills such as AI, beamline physics, and instrumentation.
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