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ESR3: Leon Bozianu (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 ESR3: Leon Bozianu (University of Geneva)

ESR3: Real time analysis strategies for reconstruction, exotic physics, and market analysis

APPLY FOR THIS POSITION

Project description

This PhD student will conduct research on hadronic physics reconstruction techniques, will learn about and develop GPU-based computing and machine learning techniques including in collaboration with IGFAE at University of Santiago de Compostela, will apply the ML techniques at a secondment at LIGHTBOX, and will conduct a physics data analysis using data collected by the ATLAS Experiment.

Real time hadronic reconstruction in LHC experiments is particularly difficult because of extremely busy detector images created by the multiple proton interactions (pile-up) in each bunch collision. This challenge will only increase in the future LHC upgrade. ESR3’s first objective is evaluate ML techniques for real-time hadronic reconstruction in ATLAS, as a replacement to algorithms that are too slow to be used in the trigger. The student in this project will be trained in reconstruction, modern ML techniques, and general classification tools. This expertise will be crucial for the second objective of this project within a collaboration with LIGHTBOX, in which the student will utilise ML techniques for predictive analytics on market analysis. The third objective of this project will be to evaluate GPUs for hadronic real-time reconstruction at the higher pile-up conditions of the LHC upgrades. The student will compare GPU-optimized reconstruction to CPU-based reconstruction. The student will receive dedicated co-supervision in optimizing algorithms for modern computing architectures and GPUs. The student will then apply their knowledge to specialised hadronic signatures for displaced or delayed jets in ATLAS, one of the most promising and experimentally challenging NP signatures. The student will search for exotic long-lived particle (LLP) signatures with this selection will be a significant step beyond ATLAS’s current capabilities, answer crucial questions for the future of ATLAS and open new avenues in the search for new physics.

Host country: Switzerland
Host beneficiary: University of Geneva
PhD-awarding institution: University of Geneva
Experiment affiliation: ATLAS
Planned collaborations: LIGHTBOX, IGFAE at University of Santiago de Compostela

Secondments

  • LIGHTBOX, Switzerland
  • IGFAE at University of Santiago de Compostela

Special requirements

Candidates should be strongly motivated to pursue doctoral studies in particle physics, and 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

The duration of PhD studies is 3 years full time, with a status as MSCA ESR, which includes a competitive salary, family and mobility and travel/training allowance. The degree requirements include both course work as well as research studies, where the latter must lead to the preparation and defence of a thesis.

For further details, please contact the PIs through the central recruitment tool.

Institute and supervisor information

The University of Geneva was created in 1559 as a theological seminary, and became a fully secular university in 1873.  It is the third largest university in Switzerland, and is very international in nature, with a considerable fraction of its students (more than ⅓) coming from other countries.  In SMARTHEP, the University of Geneva is represented by researchers from the department of particle and nuclear physics (DPNC).

The DPNC is a member of the ATLAS Experiment at CERN, in addition to several other particle physics experiments around the world and in space.  The DPNC has made significant contributions across a wide range of ATLAS activities, including detector construction and operation, triggering, software, reconstruction, and data analysis. Details of the current department activities and interests can be found on the DPNC website.

The University of Geneva welcomes applicants from a diverse range of backgrounds and experiences.

Image of Anna-Sfyrla

Main supervisor: Anna Sfyrla

Anna Sfyrla is a high energy physicist and associate professor at the University of Geneva. She works at the ATLAS and FASER experiments of the CERN LHC. She searches for physics beyond the Standard Model, focusing on hadronic final states, and aspects related to reconstruction and trigger. Besides her research, she is engaged in actions related to education, outreach and promotion of equal opportunities in academia.

Contact information

Image of Steven-Schramm

Steven Schramm

Steven Schramm is an assistant professor at the University of Geneva’s department of particle and nuclear physics (DPNC).  He has been with the DPNC since 2015, and a member of the ATLAS Collaboration since 2010.  Steven’s research focuses on hadronic physics, with an emphasis on “jets”, as well as machine learning, triggering, software, and searches for new physics.

Contact information

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

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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

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