The work on this post will be carried out in the context of the NextGen project, a collaboration between the LHC experiments and the CERN Research and Computing Departments. NextGen explores the use and impact of high-performance computing architectures in data simulation and data processing for the LHC experiments with a focus on the upcoming High Luminosity (HL-LHC) data taking phase at the CERN Large Hadron Collider.

The simulation of particle collisions is one of the main consumers of computing resources for LHC experiments. Given the expected increase in the required statistics, accuracy and complexity for future simulation, and to stay within the forecasted computing budget, the throughput of simulation software packages needs to increase substantially.

The successful candidate will join a team of software engineers and physicists that addresses this challenge. Together, you will speed up software packages for Monte Carlo (MC) event generation with a focus on the Madgraph event generator suite. Current and future tasks tackled by the team are at the intersection of theoretical/computational physics and computer science. In order to profit from the latest computing hardware, adaptations or re-engineering of software in aspects such as data structures, parallelisation of the workflow or task scheduling are needed. This work is guided by the requirements of experimental analyses and takes into account the latest developments in theoretical predictions.

In case of interest, training on data science, programming languages, software engineering concepts and computing architectures is available and can be provided via various training programs.