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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time
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postdoctoral position within the CMS group, in the context of the “DRIFTS” project funded by the ANR. DRIFTS is a collaborative project between CEA/IRFU, CERN and LLR. It aims to demonstrate novel real-time
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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post-doctoral contract to reinforce its activities on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The successful candidate will work at L2IT. His or her work will focus
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from telescope data. The design of robust uncertainty quantification tools is a core component of this effort. -On the experiment design side, the group develops simulation and optimization algorithms