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Job Description


Your responsibilities

The physics experiments of the Large Hadron Collider are preparing to receive an unprecedented amount of data from the accelerator. To be able to process that data, the very latest computing techniques will have to be used, and new ones will have to be researched with the help of industrial partners. Join the ATLAS Experiment to develop core software for a next generation of physics data taking, for the benefit of all current and future High Energy Physics experiments!

The selected candidate will become part of the ATLAS Data Processing Group (EP-APD). They will take an active role in developing task scheduling techniques using the C++ language for efficiently dispatching data processing algorithms to heterogeneous computing resources. Ensuring that all available hardware resources (CPU, GPU, FPGA) in the next generation trigger system of ATLAS and the other LHC experiments could be maximally utilised by the trigger algorithms.

The candidate will work as part of the Next Generation Triggers program of CERN, a multi-year R&D project benefiting all of the LHC experiments.

https://cern.ch/nextgen-proposal

Your profile

Skills and/or knowledge

  • Experience with modern C++ programming techniques and (massively) parallel code execution is required.
  • Knowledge of General Purpose GPU programming techniques and languages is advantageous.
  • Familiarity with the Python programming language is advantageous.
  • Familiarity with software profiling tools and modern code management techniques is a plus.

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State. A limited number of positions are also available to candidates from Non-Member States.
  • You have a professional background in Particle Physics / Computer Science (or a related field) and have either:
    • a Master’s degree with 2 to 6 years of post-graduation professional experience;
    • or a PhD with no more than 3 years of post-graduation professional experience.
  • You have never had a CERN fellow or graduate contract before.

Additional Information


Job closing date: 17.04.2024 at 12:00 AM (midnight) CEST.

Job reference: EP-ADP-OS-2024-59-GRAP

Contract duration: 24 months, with a possible extension up to 36 months maximum.

Target start date: 01-May-2024

This position requires:

  • Stand-by duty, when required by the needs of the Organization.
  • Work during nights, Sundays and official holidays, when required by the needs of the Organization.

What we offer

  • A monthly stipend ranging between 6194 and 6808 Swiss Francs per month (net of tax).
  • Coverage by CERN’s comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
  • Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
  • 30 days of paid leave per year.
  • On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

About us

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world’s largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.

Begin your CERN Quest. Take Part!


Diversity has been an integral part of CERN’s mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.

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Deadline: 27-05-2024

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