AI Physics Researcher: ML for LHC Data & TREASURE

Stanfordlivetickets; Menlo Park (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

SLAC National Accelerator Laboratory seeks an AI Physics Research Professional to advance ML and AI for high energy physics, collaborating on the TREASURE project and with ATLAS at the LHC. You will help create AI-ready data, tokenization strategies, and multi-experiment training and fine-tuning methods, enabling foundation models for physics.

Based at SLAC or CERN, the role starts Fall 2026 and focuses on data-centric science, simulation, and analysis tasks, contributing to open datasets and

Qualifications

• Experience applying AI/ML to experimental particle physics.
• Experience with data tokenization and AI-ready data pipelines.
• Familiarity with LHC data and ATLAS analyses.

Responsibilities

• Develop data tokenization methods and deliver AI-ready data for TREASURE and ATLAS analyses.
• Develop multi-experiment training and fine-tuning methods for foundation models in physics.
• Engage with physics analysis, simulation, reconstruction, and ML tasks for ATLAS/LHC data.

Skills

AI/ML in HEP

Data tokenization

Job description

SLAC National Accelerator Laboratory seeks an AI Physics Research Professional to advance ML and AI for high energy physics, collaborating on the TREASURE project and with ATLAS at the LHC. You will help create AI-ready data, tokenization strategies, and multi-experiment training and fine-tuning methods, enabling foundation models for physics.

Based at SLAC or CERN, the role starts Fall 2026 and focuses on data-centric science, simulation, and analysis tasks, contributing to open datasets and