The SLAC National Accelerator Laboratory (SLAC) is seeking a AI Physics Research Professional to work on Machine Learning (ML) and Artificial Intelligence (AI) for high energy physics (HEP) in connections with the TREASURE, a DOE HEP American Science Cloud Intelligent Data Pilot, and with the ATLAS experiment at the Large Hadron Collider (LHC) at CERN.

TREASURE is multi-DOE laboratory and multi-experiment HEP energy frontier collaborative effort that is developing AI-ready data and using such data to develop and study data tokenization and multi-experiment AI model training, and explore foundation models for fundamental physics.

The successful candidate will be based either at SLAC or CERN. The potential start time for this position is Fall 2026.

Position Responsibilities:

The successful candidate will contribute to the TREASURE project, including developing data tokenization methods and delivering AI-ready data to the American science cloud, developing multi-experiment training and fine-tuning methods, and exploring multi-experiment foundation models. The successful will also help develop LHC and other experimental open datasets for use in TREASURE. The successful candidate may also engage with physics analysis and related tasks such as simulation, reconstruction, and machine learning for ATLAS / LHC data, and other research opportunities in the SLAC ATLAS group, while also demonstrating alignment with the SLAC mission and values ( https://careers.slac.stanford.edu/working-slac/mission-vision-values ).

Qualifications:

These are highly competitive positions, requiring a background of demonstrated relevant experience in AI/ML for experimental particle physics, or related field.