Reconstruction-AI Engineer (m/f/d)
Core
Build machine learning models to turn detector data into tracks and 3D density images for an Active Muon Imaging system.
Role type
Senior IC machine-learning engineer (physics-informed reconstruction)
Builds
ML models for track reconstruction, 3D density reconstruction, and differentiable muon scattering simulation stacks.
Domain
Particle physics instrumentation / Industrial non-destructive testing
Deliverable
production ML models
Required skills
Point-cloud and graph neural network development, Large-scale synthetic training data engineering, Differentiable physics-informed reconstruction development, Geant4 experience, Uncertainty quantification, End-to-end ML systems experience
Preferred skills
None stated
Technologies
GNN, Point-cloud models, Geant4, H200 GPU, LUMI
Responsibilities
Develop ML models for track reconstruction and momentum estimation; Develop AI models to reconstruct 3D density from muon tracks using physics-informed architectures; Build differentiable muon scattering simulation stacks validated against GEANT4; Develop AI models to reconstruct 3D density directly from raw detector data.
Seniority
Senior, hands-on IC