LAPP video

Video

LAPP booklet (in french)

Plaquette

Annual report (french)

Rapport d'activité

CNRS IN2P3 CERN LAPTh UGA IDEX ESCAPE Enigmass MUST EUROPIA IDEFICS DU2I


Search


Home page > Jobs > Job offers

Post-doctoral position for the development of new tracking approaches (M/F)

updated on

The CNRS LAPP (Laboratoire d’Annecy de Physique des Particules) institute is opening a 24-month postdoctoral position for the development of new tracking algorithms, based on innovative machine learning techniques. The objective is to prepare for the exploitation of the data that will be collected by the ATLAS experiment during the High Luminosity phase of the Large Hadron collider (HL-LHC) located at CERN, Switzerland. This position is funded by ANR, within the new project ATRAPP, a collaboration between two french laboratories with a recognized expertize in computing, GPU programming and machine learning developments for HEP: LAPP Annecy and IJCLab Orsay. We are seeking candidates with a strong background in machine learning techniques. Application will be collected until the 30th of June 2022, and the position xould start in September 2022.

The successful candidate will lead new machine learning developments to improve several aspects of the existing tracking software, with a special emphasis on seeding and the reconstruction of anomalous tracks, while accounting for time-dependent detector conditions. The code developments will be done within the ACTS framework, an experiment-independent toolkit for charged particles track reconstruction. The most promising developments will later be imported into the ATLAS experiment software, and validated on real data, collected during Run 3.

Apply on the CNRS Job Portal: https://emploi.cnrs.fr/Offres.aspx

More details can be found here :

profil de poste