Two-year postdoctoral scholarship in geometric deep learning and scientific machine learning at Umeå University. The project develops geometry-aware autoencoder methods, neural ODEs on stratified spaces, and flow-based models for reliable anomaly detection, with applications to simulated LHC/ particle detector data.