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Early Stage Researchers

  • 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)
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Project descriptions

To find out more information, please click the ‘see position’ button.

PhD student position with CMS at University of Helsinki

ESR1: Machine learning and Real-Time Analysis for Higgs boson measurements and fleet safety

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PhD student position with IBM at Sorbonne University

ESR2: Real-time rule induction in fraud detection and HEP

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PhD student position with ATLAS at University of Geneva

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

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PhD student position with ATLAS at CERN and University of Geneva

ESR4: Efficient RTA in ATLAS and finance using multithreading

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PhD student position with LHCb at Sorbonne University

ESR5: RTA on heterogeneous architectures for LHC and self-driving cars

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PhD student position with LHCb at NIKHEF and VU Amsterdam

ESR6: Optimization of RTA resources for LHCb Lepton Flavour Violation search and manufacturing

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PhD student position with LHCb at TU Dortmund

ESR7: Machine Learning for Real Time Analysis of Lepton Flavour Violation in neutral meson decays and traffic predictions

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PhD student position with LHCb at TU Dortmund

ESR8: Real Time Analysis for global event triggering in LHCb and manufacturing

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PhD student position with LHCb at University of Heidelberg

ESR9: Real-time analysis for Dark Photons search in LHCb and smart vehicles

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PhD student position with ALICE at Lund University

ESR10: Real-time calibration of ALICE Time Projection Chamber and ML traffic predictions

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PhD student position Verizon Connect in Florence and University of Bologna

ESR11: Real-Time Analysis through computer vision on dashcams and triggers in High Energy Physics

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PhD student position with ATLAS at University of Manchester

ESR12: Accelerated anomaly detection

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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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    • What is SMARTHEP?
    • Meet the team
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