Phd Thesis Opening At Llr, Plaisseau On The Cms Experiment At Cern. H/F

Universities and Institutes of France


September 29, 2022


  • Organisation/Company: CNRS
  • Research Field: Physics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 29/09/2022 23:59 - Europe/Brussels
  • Location: France › PALAISEAU
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 01/11/2022
  • Both institutes are founding members of the CMS experiment and played central roles in the major scientific breakthroughs achieved by the collaboration since the start of LHC operations in 2010. The LLR is located at the Ecole Polytechnique campus in Palaiseau. This is a joint CNRS-Ecole Polytechnique unit involving 120 people two fields of research that support each other both conceptually and technically: particle physics and very high energy gamma-ray astronomy. The group is one of the key actors in the discovery of a Higgs boson and the measurement of its properties. The group is also strongly involved in the developments for the LHC Phase 2 upgrades and in particular in the design of the HGCAL and the Level-1 Trigger system. Our groups have pioneered the development of sophisticated trigger systems and have very extensive expertise in different aspects of these technologies.

    Title: Development of advanced low-latency algorithms for high energy physics and beyond

    The Compact Muon Solenoid experiment aims to study physics at the high-energy frontier with the proton-proton collisions produced by the Large Hadron Collider (LHC) at CERN. The characterization of the Higgs sector, as well as the search for new physics will require the full capabilities of the LHC. Upgrades are foreseen along the way to reach much higher instantaneous luminosities during the Phase-2 of the LHC, also refered to as the high- luminosity LHC (HL-LHC), starting in 2028. The CMS group of the Laboratoire Leprince Ringuet (LLR) is opening a PhD thesis position to perform research work within the joint CNRS-Imperial College (UK) program. This thesis proposes to develop sophisticated low latency algorithms based on artificial intelligence (AI). The huge volumes of data produced in particle physics experiments, which are highly structured, well understood and open, provide an ideal test bed for advanced AI algorithms. Because of the very high volumes of data (in excess of 100Tb/s), the electronics used in particle physics detectors has traditionally been application-specific, but over the last decade advances in technology mean that flexible common processing platforms, including generic and flexible firmware/software frameworks to facilitate algorithm development and deployment, can now be used in many cases. This PhD thesis proposes to design sophisticated and powerful FPGA trigger algorithms to capture collision events displaying interesting physics signatures. The objective is to exploit the fine-grained information provided by the first imaging calorimeter (HGCAL) to be implemented in such HEP experiement. The studies are embedded in a larger project to commission and test the first prototypes of the HGCAL trigger system at CERN. A large-scale test is planned at a dedicated integration centre, where a fully equipped slice of the HGCAL electronics will be available in the future. The studies proposed in this thesis also include the development of data analyses to conduct searches in the Higgs sector and new physics signatures from exotic long-lived particles. Both subjects constitute highlights of the HL-LHC physics programme. Common analysis tools are used in the existing CMS software and will be used by the student to develop a dedicated analysis framework in collaboration with other PhD student within the LLR and Imperial College London teams currently working on these topics. The collaboration will extend to the study of dedicated trigger reconstruction techniques using HGCAL data for these final states. The sensitivity extracted from these studies will be used to evaluate the impact of the trigger algorithm developed. The combination of technical activities and data analysis will allow the PhD candidate to gain expertise in varied aspects of this research field. The candidate will participate to meetings and workshops to be held at CERN and Imperial College London.

    Web site for additional job details

    https: //

    Required Research Experiences
  • Physics

  • None

    Offer Requirements
  • Physics: Master Degree or equivalent

  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Laboratoire Leprince Ringuet
  • Organisation Type: Public Research Institution
  • Website: https:// polywww.
  • Country: France
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