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.