Do you want to apply your Data Science and AI expertise to one of the world’s most complex scientific and engineering environments?
Join CERN and take a leading role in developing an AI driven prescriptive maintenance and operational assistance platform for the Large Hadron Collider (LHC). In this position, you will drive the full lifecycle of an innovative AI solution designed to improve the reliability and performance of accelerator systems. Your work will span requirements gathering, data preparation, model development and lifecycle management, integration of safety considerations, creation of AI-assisted diagnostics tools, and the implementation of robust data and API pipelines.
You will develop a proof of concept using LHC Run 3 data, then lead testing and validation on representative systems within the TE Department, with the goal of achieving full deployment for Run 4. Your contribution will enable CERN to harness advanced AI methods to reduce unplanned downtime, strengthen operational resilience, and support data-driven decision making across critical accelerator infrastructure.
Be sure to meet the eligibility criteria
* You are a national of aCERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
* By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
* 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.
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