Interested in helping shape the next generation systems handling the very large amount of data coming out of CERN physics detectors? Passionate about machine learning (ML) and how it will reshape how our experiments work?

You will design and operate shared AI platforms used by experiments, researchers, and services across CERN – combining open-source innovation, cloud-native technologies, and high-performance computing to turn vast volumes of scientific data into insight.

Your responsibilities

• Design and develop the platform and support activities in the Next Generation Triggers (NGT) project, shaping the next generation systems for the High Luminosity LHC (HL-LHC) and beyond.
• Design and develop the central machine learning (ML) platform at CERN, supporting activities across all experiments, campus services and user communities.
• Collaborate with CERN teams to identify, prototype and benchmark AI use cases across heterogeneous computing infrastructures.
• Build and maintain an open-source-based AI/MLOps ecosystem, including model and agent lifecycle management, evaluation, monitoring, and engagement with open-source communities and industry partners.

Be sure to meet the eligibility criteria

• By the application deadline, you have a maximum of 2 years of professional experience since graduation in the respective field and your highest educational qualification is either a bachelor’s or master’s degree. You must have a university degree and can’t hold a PhD.
• You have never had a CERN fellow or graduate contract before.
• Please pay attention to the additional criteria and requirements for this specific position and mentioned above.