Fysikkbygningen øst (kart)
Sem Sælands vei 24
Model independent searches for new physics are proposed as a way to be sensitive to various scenarios of new physics theories in final states with e.g. leptons recorded with the ATLAS detector.
In this thesis, you will investigate how modern structure-aware machine learning techniques can be applied to practical challenges usually approached using classic symbolic AI techniques. Specifically, you will develop novel algorithms based on graph neural networks (GNNs) for anomaly detection in knowledge graphs, and test them against existing approaches in synthetic and real-life settings.
Please read more in the Norwegian project page.