Applied Physicist on Event Reconstruction

Mid-level
🇨🇭 Switzerland
Data Scientist
Data science & Analytics

Your responsibilities

As part of our commitment to advancing science, we're launching the Real-time Reconstruction Revolution (R³ - Rcube) project under the Next Generation Trigger initiative (NGT).

In this project, you'll face the challenge of dramatically speeding up the reconstruction time for important physics objects like electrons, photons, muons, taus, Jets and missing energy, and the particle flow event interpretation in the CMS high-level trigger processing step.

Your main task will be to develop faster hadron reconstruction methods, from individual energy deposits in the calorimeters to final physics objects. This will require understanding the physics behind hadron reconstruction and handling data from all detectors: tracking, calorimeters, and muon systems. You'll design and create new algorithms that use heterogeneous solutions and AI techniques to improve speed and accuracy. You'll also ensure these algorithms are thoroughly tested to ensure they work well in physics and computing power. Working closely with the team, you'll integrate these advanced algorithms into the CMS reconstruction software.

Your profile

Skills and/or knowledge

  • Experience in High Energy Physics (HEP) Reconstruction Code Development.
  • Programming skills in C++ are required, with a focus on developing efficient algorithms.
  • Familiarity with parallel programming and optimizing algorithms for efficient execution on GPU architectures would be advantageous.
  • Experience in creating, training, and deploying ML models is appreciated, as the role involves integrating AI-driven techniques into the reconstruction algorithms.

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 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.

 

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