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Portail > Offres > Offre UMR5814-CLABOM-074 - Poste postdoctoral pour le développement de nouvelles approches de reconstruction des traces de particules chargées (H/F)

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

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mercredi 29 juin 2022

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General information

Reference : UMR5814-CLABOM-074
Date of publication : Wednesday, April 27, 2022
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 September 2022
Proportion of work : Full time
Remuneration : from 2663,79 € monthly gross, according to work experience
Desired level of education : PhD
Experience required : 1 to 4 years


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. The successful candidate will closely collaborate with other ATRAPP members at LAPP and IJCLab, as well as tracking experts based at CERN. In the course of the project, the GPU farm and the DNN expertise already available at LAPP will certainly be beneficial. The candidate will travel regularly to CERN (50 km from LAPP) and is expected to report about her/his progress in collaboration meetings, conferences and workshops.


• The candidate must hold a PhD in software/computing or in High Energy Physics
• A strong experience in software development is required
• Deep knowledge of machine learning techniques is mandatory
• Prior knowledge of tracking and GPU usage is optional but will add value
• Good communication skills and a collaborative spirit
• Working autonomy and proactivity
• English written/spoken level B2 minimum
• Indifferent experience

Applicants must:
- Apply on the CNRS Job Portal https://emploi.cnrs.fr/Offres.aspx: submit a cover letter explaining their interest in the position and a detailed curriculum vitae (containing a description of their research expe-rience with a list of publications highlighting their personal contributions).
- Have referrals to send at least 2 letters of recommendation directly to
lapp_administration_rh_secretariat@lapp.in2p3.fr (further information can be obtained from this same email address).

Work Context

LAPP is a laboratory of the Institute of Nuclear Physics and Particle Physics (IN2P3), an institute of the National Center for Scientific Research (CNRS), which coordinates programs in these fields. LAPP is a joint research unit (UMR 5814) of the CNRS and the University of Savoie Mont-Blanc (USMB). More than 150 researchers, teacher-researchers, engineers, technicians, administrators, students and foreign visitors work there. The research carried out at LAPP aims to study the physics of elementary particles and their fundamental interactions, as well as to explore their links with the great structures of the Universe. The work of the LAPP teams aims, among other things, to understand the origin of the mass of particles, to unravel the mystery of dark matter or to determine what happened to the anti-matter present in our universe at the time of the Big Bang.

The post-doctoral position is funded through the ATRAPP ANR 2021 grant, and dedicated to the developments of new tracking algorithms to fully exploit the new capabilities of the next ATLAS inner silicon tracker (ITk). The final design of this tracking detector is currently being finalized, and the pre-production of its components is starting. Its construction will begin in 2023, and parts of this detector will be assembled at LAPP.

Constraints and risks

Some short trips have to be planned at CERN and abroad

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