Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : Laboratoire des 2 Infinis – Toulouse (L2IT)
Durée : two years
Contact : jan.stark@l2it.in2p3.fr
Date limite de publication : 2024-07-01
Contexte :
The Laboratoire des 2 Infinis – Toulouse (L2IT) is a laboratory created in 2020 to conduct research in fundamental physics with new numerical and theoretical approaches to data analysis. The laboratory’s research focuses on particle physics, gravitational waves and the equation of state of nuclear matter, and is supported by the concurrent development of data science and analysis methodologies. L2IT is operated by CNRS/IN2P3 and Université Toulouse III – Paul Sabatier. The L2IT Particle Physics team contributes to understanding the dynamics of the scalar sector of the Standard Model through studies of the Higgs boson and of the polarisation of vector bosons. It contributes to the development of data reconstruction software for the new tracker (ITk) that the ATLAS collaboration will install for the high-luminosity phase of the LHC. The successful candidate will work in close collaboration with other members of the Particle Physics team, and with members of the Computing, Algorithms and Data team at L2IT.
Sujet :
The successful candidate will develop innovative analysis methods for the reconstruction or the analysis of data from the ATLAS experiment. The L2IT team plays a leading role within the ATLAS collaboration in the reconstruction of charged particle tracks using deep geometric learning (GDL). The person joining us can contribute to this effort, for example by applying GDL to signatures not considered in the existing studies (electrons or tracks produced far away from the centre of the detector). Other applications of machine learning for the reconstruction or the analysis of ATLAS data are possible, depending on the candidate’s experience and motivation.
Profil du candidat :
We are looking for a colleague with a PhD in particle physics or in computer science with a strong specialisation in machine learning. Proven experience with machine learning to solve a scientific problem, or experience with algorithms for particle physics would be a plus.
Formation et compétences requises :
PhD in particle physics or in computer science obtained less than three years before the start date at L2IT.
Adresse d’emploi :
Laboratoire des 2 Infinis – Toulouse (L2IT)
Maison de la Recherche et de la Valorisation
75 cours des Sciences
31400 Toulouse
Document attaché : 202310301004_PostdocML_L2IT.pdf