The following projects are part of this work package:
Open positions for 2025
- Large Language Models for Explainable and Scalable Radio Galaxy Classification
- Searches for long-lived axion-like particles at the ATLAS experiment
- Searches for Higgs pair production with the ATLAS Experiment at the LHC
- Emulating the Universe: a simultaneous exploration of cosmology and “gastrophysics”
2024
- Efficient and accurate Technology Computer-Aided Design simulations with machine learning and their application to develop monolithic CMOS sensors for physics experiments
- Machine learning methods for numerical estimates of transport coefficients of quark-gluon plasma and the classification of urban landscapes
- Digital Twin Model of the Milky Way
- Machine Learning methods to identify faint stellar streams in Milky Way-type galaxies
- Developing Machine Learning methods to constrain the properties of the Quark-Gluon Plasma
- Search for Higgs bosons decaying to dark matter using advanced artificial intelligence techniques and upgrade of the silicon tracker at ATLAS
- Detecting gravity anomalies in asteroids: application to Hera's radio science
2023
- How do supermassive black holes affect their host galaxies?
- Machine learning methods for generation of random images and equilibrated configurations of gluon fields in Quantum Chromodynamics
- Using neural networks and clustering algorithms to understand the mass flows and energy cycles at the heart of our Galaxy
2022
- Reconstructing the assembly history of our Galaxy using neural networks
- Constraining the complex relationship between galaxies and their dark matter haloes with machine learning
- Artificial Intelligence to improve HPGe detector performance and reliability
- AI: from high energy physics to medical applications
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