A key challenge in data quality monitoring (DQM) in high-energy physics (HEP) is the need for online monitoring and control of the experiment with the data that is sensitive to underlying conditions and the constantly evolving state of the detector components. Developing and implementing software solutions for this subfield generally requires specialized knowledge of both physics and niche software tools. In order to assist and accelerate research in HEP DQM, this project aims to develop a specizlied AI agent following the HEPTAPOD framework.
Total project length: 175 hours.
C++, Python, PyTorch, Tensorflow, previous experience in Deep Learning.
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Solve the evaluation tasks at this link. Please send us your CV and a link to all your completed work (github repo) to ml4-sci@cern.ch with Evaluation Test: ML4DQM in the title.
Please DO NOT contact mentors directly by email. Questions should instead be directed to ml4-sci@cern.ch which is forwarded to mentors. To submit your proposal, CV, and test task solutions, please use this Google form.