SW & FW Developer / Physicist

The role involves developing and maintaining pipelines for machine learning algorithms in the Global Hardware Trigger system for the ATLAS experiment at CERN. The position includes hardware integration, algorithm development, and team supervision responsibilities within the EP Department.

Responsibilities

• Develop and maintain pipelines to streamline the end-to-end process of developing, optimising, and implementing ML algorithms into the Global firmware framework, and support the ATLAS Global community in using these pipelines.
• Contribute to Global hardware integration activities at CERN.
• Explore, develop, and optimise novel ML algorithms for Global, and play a leading role in developing the trigger menu and strategy for the start of the HL-LHC programme.
• Explore, develop, and optimise concepts of anomaly detection, trigger-level analysis, and data scouting in ATLAS using the Global system.
• Explore the potential and applicability of novel industry technologies (e.g., AMD AI Engines) to enhance the reach of the ATLAS Global system.
• This role includes team supervision responsibilities.

Requirements

• 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.
• Strong track record in developing novel ML algorithms, especially in the context of particle physics experiments.
• Strong background in computational statistics.
• Good level of knowledge of digital electronics for data acquisition.
• Your studies focused on PhD in Physics, Computer Science.
• Modern C++ and Python programming techniques.
• Writing and testing algorithms for data processing and filtering.
• Knowledge of hardware description languages (HDL) or high-level synthesis (HLS) tools and concepts is highly desirable.
• Spoken and written English, with a commitment to learn French.

Skills

• Machine learning algorithms
• Particle Physics Experiments
• Computational Statistics
• Digital Electronics Design
• Data Acquisition
• PhD in Physics
• PhD in Computer Science
• Modern C++ Programming
• Python Programming
• Algorithm Development
• Data Processing
• Data Filtering
• Hardware Description Languages
• High-Level Synthesis Tools
• Hardware Integration
• Team Supervision

Languages

English, French