Event Reconstruction Physicist (EP-FCC-2026-166-GRAP)

CERN is seeking an Event Reconstruction Physicist to advance the next generation of experiments, including the HL-LHC upgrade of CMS and the Future Circular Collider. The role focuses on generalizing a prototype event-level graph model into an experiment-independent library. You will develop reconstruction algorithms, integrate them into the FCC software stack, and utilize modern machine learning techniques for clustering and particle identification. This position is critical for bridging the gap between simulation truth and reconstructed physics objects, ensuring high-performance data analysis across diverse detector architectures. Candidates should possess a Master's or PhD in Physics, Computer Science, or Applied Mathematics, with significant experience in C++ and high-energy physics software. The role requires expertise in heterogeneous computing and a commitment to collaborative research. Successful applicants will contribute to official repositories, present findings at international forums, and engage in team supervision.