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arXiv · 2603.16293

Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning

Cecilia Borca·Javier Jiménez Peña·David Marckx·Malgorzata Niemiec·Elisabetta Spadaro Norella·Marta Urbaniak
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Abstract

A 2021 study by the ECFA Early-Career Researchers Panel revealed that 71% of 334 respondents used open-source software tools in their instrumentation work, yet 70% reported receiving no training for these tools. In response, the Software and Machine Learning for Instrumentation group was formed in the ECFA Early-Career Researchers Panel to assess the accessibility and quality of training programs in machine learning and software for early-career researchers in experimental and applied physics. This group launched a new survey, reaching 174 participants. This report summarises the survey results in detail, and is intended to serve as a guiding document to improve the training programs that are available to early-career researchers.

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Cecilia Borca, Javier Jiménez Peña, David Marckx, Malgorzata Niemiec, Elisabetta Spadaro Norella, Marta Urbaniak. 2026-03-17. Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning. https://arxiv.org/abs/2603.16293

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