smartHEPsmartHEPsmartHEPsmartHEP
  • Home
  • About us
    • What is SMARTHEP?
    • Meet the team
  • News & Events
  • Early Stage Researchers
  • Visual identity
  • Contact us

ESR4: Sofia Cella (CERN and University of Geneva)

  • ESR1: Patin Inkaew (University of Helsinki)
  • ESR5: Fotis Giasemis (Sorbonne University)
  • ESR7: James Gooding (TU Dortmund)
  • ESR8: Micol Olocco (TU Dortmund)
  • ESR6: Daniel Magdalinski (VU Amsterdam)
  • ESR2: Laura Boggia (IBM and Sorbonne University)
  • ESR3: Leon Bozianu (University of Geneva)
  • ESR4: Sofia Cella (CERN and University of Geneva)
  • ESR11: Henrique Piñeiro Monteagudo (Verizon Connect and UniBo)
  • ESR12: Pratik Jawahar (University of Manchester)
  • ESR10: Joachim Carlo Kristian Hansen (Lund University)
  • ESR9: Carlos Cocha (University of Heidelberg)
Home Early Stage Researchers ESR4: Sofia Cella (CERN and University of Geneva)

ESR4: Efficient RTA in ATLAS and finance using multithreading

APPLY FOR THIS POSITION

Multithreaded (MT) programming is crucial to make best use of today’s parallel computing architectures, but until recently most HEP code was unable to run MT. Because of associated overheads and latency requirements, MT is particularly challenging for RTA. The first objective of the student working on this project will be to implement additional monitoring within the ATLAS real-time code to analyse algorithm scheduling and performance as well as measure the overhead of MT in RTA. The student will use this to identify improvements that maximize the control flow and overall performance. This will be done in synergy with the benchmarking work of another project within SMARTHEP, and integrated in the ATLAS real-time software. Working on this objective will result in the PhD student working on this project becoming trained in advanced techniques of developing and evaluating code for highly parallel architectures. This will be crucial for their collaboration with Lightbox, where they will devise an optimal parallelization of algorithms for investment strategies, trading infrastructures and integrated business processes, and where they will be  trained in commercial tasks and then produce a commercial framework with figures of merit for their real-time optimization. The student will also collaborate with CNRS, whose physical proximity enables ESR4 to benefit from the expertise in MT and parallelization more generally of both. The student in this project will use the gained insights and knowledge to implement new RTA capabilities in the ATLAS trigger for Long Lived Particle (LLP) signatures, including dedicated pattern recognition algorithms for charged particles decaying in the middle of the detector. This will increase the trigger acceptance for such particles in ATLAS Run 3 data, so that a search with the first data can be performed in collaboration with another student at the University of Geneva within the SMARTHEP network.

Host country: Switzerland
Host beneficiary: CERN
Experiment affiliation: ATLAS
PhD-awarding institution: University of Geneva
Planned collaborations: LIGHTBOX, CNRS

Secondments

  • LIGHTBOX, Switzerland
  • LPNHE CNRS, France

Special requirements

Candidates should have received (or be about to receive) the equivalent of a Master’s Degree with a specialization in particle physics or a related discipline.

Good knowledge of spoken and written English is a requirement.

Offer

A  successful  candidate  for  this  position  will  be  offered  a  three  year  CERN Fellowship employment contract with a competitive salary plus a family, mobility and travel/training allowance.

The candidate will be enrolled in a PhD program at the department of particle and nuclear physics DPNC at the University of Geneva.

Institute and supervisor information

CERN, the European Organization for Nuclear Research, is an intergovernmental organization with 23 Member States. Its seat is in Geneva but its premises are located on both sides of the French-Swiss border. CERN’s mission is to enable international collaboration in the field of high-energy particle physics research and to this end it designs, builds and operates particle accelerators and the associated experimental areas. At present, more than 10 000 scientific users from research institutes all over the world are using CERN’s installations for their experiments. Further information is available on the CERN website

CERN hosts the largest and most powerful particle accelerator in the world, the Large Hadron Collider (LHC) together with its four main experiments: ALICE, ATLAS, CMS and LHCb. This unique research facility has been providing high energy particle collisions since 2009. It is used to study a wide range of aspects of fundamental particle physics which for instance lead to the discovery of the Higgs boson in 2012. The LHC will continue to be on the forefront of high energy physics for the next two decades by implementing upgrades to the accelerator and experiments facilitating ever higher collision rates and energies. This will require the development and deployment of new and innovative technologies for handling the unprecedented data rates generated (more than 100 Exabytes per year) in real time to achieve the optimal physics performance. CERN researchers from all four experiments are part of SMARTHEP.

Image of Brian-Petersen

Main supervisor: Brian Petersen

Brian Petersen has been a CERN staff scientist since 2007. His main research interest is the search for physics beyond the Standard Model. He is a member of the ATLAS and FASER LHC experiments and has been the coordinator of both the ATLAS trigger group and the ATLAS upgrade physics group.

Since 2018 he is the LHC Programme Coordinator  where he is responsible for optimising the efficiency of the data collection for the LHC physics programme and its scientific output.

Co-supervisor: Maurizio Pierini

Maurizio Pierini is the coordinator of the Physics Performances and Dataset (PPD) area in CMS, and the initiator of real-time analysis (Data Scouting) in CMS. He leads the ML4HEP Team and works in collaboration with Zenuity. He is a CERN staff scientist, and a LPC Distinguished Researcher of the Fermilab Physics Center.

ABOUT US

SMARTHEP is a network that connects the fields of High Energy Physics (HEP) and Data Science, especially in relation to the challenges of  processing large datasets using real-time analysis.

SMARTHEP is intended as a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of both HEP and Data Science.

LATEST NEWS

  • 21 October, 2019
    Comments Off on Institut Pascal “Learning To Discover” real-time analysis workshop

    Institut Pascal “Learning To Discover” real-time analysis workshop

  • 14 January, 2019
    Comments Off on REALTIME Advanced Study Group

    REALTIME Advanced Study Group

  • 21 January, 2018
    Comments Off on RAPID Workshop – October 2018

    RAPID Workshop – October 2018

Quick Links

  • Home
  • What is SMARTHEP?
  • News & Events
  • Early Stage Researchers
  • Contact Us
  • Cookie Policy

CONTACT US

If you wish to contact us,
please use the details below

Email: smarthep-recruitment@cern.ch

 

SMARTHEP is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2020, under Grant Agreement n. 956086

Image: EU Flag

Copyright 2022 | All Rights Reserved
  • Home
  • About us
    • What is SMARTHEP?
    • Meet the team
  • News & Events
  • Early Stage Researchers
  • Visual identity
  • Contact us
smartHEP
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-advertisement1 yearSet by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
CookieLawInfoConsent1 yearRecords the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie.
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
CookieDurationDescription
ppwp_wp_session30 minutesNo description
SAVE & ACCEPT
Powered by CookieYes Logo