The CMS group at the Laboratoire Leprince-Ringuet, École Polytechnique, is inviting for a postdoctoral position for an initial duration of two-years starting in late 2019 or early 2020.

The group is a founding member of the CMS Collaboration. It has designed, built, and is responsible for the operation of the Level-1 (L1) trigger for the electromagnetic calorimeter. It has also designed the calorimeter mechanics and contributed to the front-end readout electronics. It has major involvement in particle reconstruction and identification with the e/gamma and tau Physics Object Groups, and contributed to the development of the Particle Flow (PF) event reconstruction. It is among the leading protagonists within the CMS Collaboration in Higgs physics (H properties, HH production and self- coupling), electroweak physics (di-bosons, triple gauge couplings, etc.) and heavy ions (quark-gluon plasma). The group is also strongly involved in the development of the future high granularity endcap calorimeter (HGCAL) for the Phase 2 of the LHC, in particular on its mechanical design, on the generation of the L1 trigger primitives; it is also participating to the system tests of the detector prototypes and to the analysis of the test-beam campaigns.

The successful candidate is expected to contribute to the development of the offline local reconstruction of the HGCAL detector and to the Particle Flow event reconstruction. He or she will also contribute to the prospective on HH production at the HL-LHC, thus joining the efforts of the CMS group at the LLR. From the very beginning, HGCAL has been designed with the Particle Flow event reconstruction in mind. Novel approaches have to be invented to optimally exploit the fantastic granularity and timing capabilities of the detector to optimize the main interaction vs. pile- up separation while using a finite amount of computing resources. Since algorithms based on cutting-edge machine-learning techniques are envisioned, good programming skills (python, C++) as well as strong interest in AI (if not a prior expertise in this domain) is highly desirable.

Applications, including a CV, a summary of research activities, a brief statement of research interests, and at least two letters of reference should be sent to 

cms-llr-postdoc@llr.in2p3.fr before November 4th 2019.

This position is funded by the P2IO LabEx.