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<p>In this Editorial, we describe the SMARTHEP Innovative Training Network funded via the Marie Skłodowska-Curie Actions between 2021 and 2025. SMARTHEP trained 12 PhD students to advance machine learning and real-time analysis in high-energy physics experiments and industrial applications. We present the perspective of students, supervisors, and external observers of the network, concerning the work done within the network, the added value compared to “typical” PhD positions, and the emerging themes and directions from our experiences in the past four years.</p>

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SMARTHEP: Training PhD Students in Real-time Analysis at the LHC and in Industry

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月19日

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  • Johannes Albrecht,
  • Laura Boggia,
  • Leon Bozianu,
  • Andrew Carey,
  • Carlos Cocha,
  • Caterina Doglioni,
  • James Andrew Gooding,
  • Joachim Hansen,
  • Patin Inkaew,
  • Kaare Iversen,
  • Pratik Jawahar,
  • Henning Kirschenmann,
  • Daniel Magdalinski,
  • Alice Ohlson,
  • Micol Olocco,
  • Henrique Piñeiro Monteagudo,
  • Steven Schramm,
  • Mike Sokoloff,
  • Alexandros Sopasakis,
  • Leonardo Taccari,
  • Sten Åstrand

摘要

In this Editorial, we describe the SMARTHEP Innovative Training Network funded via the Marie Skłodowska-Curie Actions between 2021 and 2025. SMARTHEP trained 12 PhD students to advance machine learning and real-time analysis in high-energy physics experiments and industrial applications. We present the perspective of students, supervisors, and external observers of the network, concerning the work done within the network, the added value compared to “typical” PhD positions, and the emerging themes and directions from our experiences in the past four years.