Deep Learning DeveloperNew

This developer will design and train transformer-based foundation models for particle-physics detector data within CERN’s TURING project. The role evaluates performance and scientific use cases, develops prototypes that generalise across detector applications, and strengthens collaboration between deep-learning researchers and the experimental-physics community.

• Lead performance evaluation and use-case validation within the TURING project
• Develop a robust foundation-model prototype that generalises across multiple detector use cases
• Design and train transformer architectures using calorimeter and specialised detector data
• Investigate self-supervised learning methods for multi-task capabilities and computational efficiency
• Strengthen collaboration with CERN’s experimental-physics community on foundation models for high-energy physics

• Master's degree with two to six years of professional experience since graduation, or a PhD with no more than three years of professional experience since graduation
• Nationality of a CERN Member State or Associate Member State
• No previous CERN fellow or graduate contract
• Spoken and written English with a commitment to learn French

• Experience with deep learning, transformer models or scientific data

• Deep Learning
• Transformer Models
• Neural Networks
• Python
• PyTorch
• TensorFlow
• Machine Learning
• Data Analysis
• GPU Training
• MLOps
• Docker
• Git

• Python
• PyTorch
• TensorFlow
• NumPy
• Pandas
• Docker
• Git

• Graduate programme