ML-Driven Track Reconstruction Lead for HL-LHC EF

Physics World in Switzerland is seeking a candidate to research machine learning applications for track reconstruction at the HL-LHC. You'll conduct investigations into ML algorithms while supervising a team, contributing to critical developments in the project. The position requires a PhD in Particle Physics or a related field, alongside experience with ML methods. You will be involved in both applied research and practical applications, ensuring advancements in the ATLAS EF tracking workflow.
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