Much of the media attention given to the particle accelerator experiments that happen at the European Organization for Nuclear Research, known as CERN, is focused on the Large Hadron Collider (LHC). It’s no surprise, given the LHC is the world’s largest, most complex machine, unravelling some of the toughest scientific problems by accelerating particles (protons or heavy ions) and making them collide in a gigantic 27-kilometer ring. But the work that happens immediately after particles collide in the LHC is not only critical to science, it’s also quite interesting and important from a computing and data processing perspective. After all, the creation of particles or results in the LHC is only significant if scientists can quickly isolate them from millions of inconsequential signals for further study. That means ongoing advancements in trigger and data acquisition systems are essential to fully reaping the rich potential of the LHC. And, as you can imagine, the networking and computing challenges are extreme in nearly every dimension.

Much of the media attention given to the particle accelerator experiments that happen at the European Organization for Nuclear Research, known as CERN, is focused on the Large Hadron Collider (LHC). It’s no surprise, given the LHC is the world’s largest, most complex machine, unravelling some of the toughest scientific problems by accelerating particles (protons or heavy ions) and making them collide in a gigantic 27-kilometer ring. But the work that happens immediately after particles collide in the LHC is not only critical to science, it’s also quite interesting and important from a computing and data processing perspective. After all, the creation of particles or results in the LHC is only significant if scientists can quickly isolate them from millions of inconsequential signals for further study. That means ongoing advancements in trigger and data acquisition systems are essential to fully reaping the rich potential of the LHC. And, as you can imagine, the networking and computing challenges are extreme in nearly every dimension.

The Storage Group (ST) within CERN's IT Department ensures a coherent development and operation of storage services at CERN for all aspects of physics data.

A key responsibility of the Group is the development of data storage and data management solutions, which are mission critical for the LHC program but also most other science activities at CERN and the word-wide LHC grid.

The EOS storage system developed by the group serves today more 80 PB of data to the community of analyzing scientists from most CERN experiment.

The system increasingly also takes over additional task such as serving as a backend for cloud storage and providing home directories to CERN users.

The successful candidate will join the Analysis and Design (AD) section of ST group that develops storage and data management solutions for use at CERN and in the LHC computing grid and participates actively in the XROOT project.

Introduction

Computing Engineer in the Information Technologies Departement (IT), Storage Group (ST), Analysis and Design Section. (IT-ST-AS).

The Storage Group (ST) within CERN's IT Department ensures a coherent development and operation of storage services at CERN for all aspects of physics data. A key responsibility of the Group is the development of data storage and data management solutions, which are mission critical for the LHC program but also most other science activities at CERN and the word-wide LHC grid.