Job Description
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.
Your responsibilities
Collect and formalise operational use cases and user stories with engineers and maintenance experts; translate them into functional and technical specifications.
Define system requirements and draft solution architecture for an AI-driven prescriptive maintenance platform.
Design and implement scalable data pipelines for ingesting and processing operational data (e.g. time series, logs, equipment metadata, technical documentation) using distributed processing frameworks.
Perform data pre-processing, feature engineering, and exploratory analysis to prepare datasets for modelling.
Design and execute machine learning experiments for anomaly detection, failure prediction, and prescriptive recommendations.
Implement experiment tracking, model validation, and reproducibility practices using ML lifecycle management tools (e.g. MLflow or similar).
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