Beyond the Standard Model,
beyond supervised learning.

RODEM builds machine learning for the ATLAS experiment at CERN, to search data from the Large Hadron Collider for physics the Standard Model cannot explain.

New here

What we are looking for

An introduction to the Standard Model, what it leaves out, and how machine learning helps look for the rest. No physics background needed.

Students

Thesis projects

Master’s projects currently available, how PhD funding works in Geneva, and the background you will need.

Colleagues

What we build

Foundation models, optimisation, reconstruction, generation and exploration, with every paper grouped by the theme it belongs to.

Research

What we work on

Most of the work here is building the tools a search needs, and then running the search. The five themes below cover the methods, and each one links to the papers behind it.

The first four are methods. The last is what they are built for. More on the research →

An ATLAS collision seen end-on: tracks radiating from the collision point, with one muon crossing the whole detector.
ATLAS candidate event pp → H(→bb) + W(→µν), Run 338712, Event 335908183. ATLAS Experiment © 2017 CERN.

People

Team

The group brings together physicists and machine learning researchers, with several students co-supervised across the Physics and Computer Science departments.

Latest

News

    All news →

    Get in touch

    Contact

    Email

    Address

    Joining us

    Master’s projects, PhD openings and fellowship routes are listed on the Join us page.