SMARTHEP: training PhD students in real-time analysis at the LHC and in industry

arXiv (Cornell University) 2026 Preprint Open access

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Authors: J. Albrecht, Laura Boggia, Leon Bozianu, Andrew Carey, C. Cocha Toapaxi, Caterina Doglioni, J. A. Gooding, Joachim Hansen, Patin Inkaew, K. E. Iversen, Pratik Jawahar, Henning Kirschenmann
+9 more Daniel Magdalinski, A. Ohlson, Micol Olocco, Henrique Piñeiro Monteagudo, S. Schramm, Mike Sokoloff, Alexandros Sopasakis, Leonardo Taccari, Sten Åstrand
Cited by: 0

Abstract

In this invited Editorial for Software and Computing for Big Science, 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.

Fields of Study & Subjects

Doctoral Education Challenges and Solutions Particle physics theoretical and experimental studies High-Energy Particle Collisions Research

Publication details

Journal / source
arXiv (Cornell University)
Publication date
11 January 2026
Document type
Preprint