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Open positions

Machine learning for high energy physics


Type

PhD student position


Supervisors

  • Lorenzo Rosasco - DIBRIS


About

We have opening for a PhD student to work at the interface of Machine Learning and High Energy Physics.
The research themes are focused on the development of AI solutions for LHC physics, including but not limited to hypothesis testing strategies for model-independent searches of new physics.
The prospective candidate will join a network of collaborations that includes CERN, the University of Padova and the Institute for Artificial Intelligence and Fundamental Interactions (IAIFI-MIT).

Candidates with backgrounds in high energy physics (theoretical, experimental or computational) as well as in computer science will be considered and proven experience on topics related to the project is required.

The position is for 2024.

Perspective candidates should make an expression of interest before Tuesday, January 30, 2024.


Machine learning for high energy physics


Type

Post-doc position


Supervisors

  • Lorenzo Rosasco - DIBRIS


About

We have opening for a postodoc to work at the interface of Machine Learning and High Energy Physics.
The research themes are focused on the development of AI solutions for LHC physics, including but not limited to hypothesis testing strategies for model-independent searches of new physics.
The prospective candidate will join a network of collaborations that includes CERN, the University of Padova and the Institute for Artificial Intelligence and Fundamental Interactions (IAIFI-MIT).

Candidates with backgrounds in high energy physics (theoretical, experimental or computational) as well as in computer science will be considered and proven experience on topics related to the project is required.

The position is for 2024, but the start date is flexible. The duration of the contract is for 1 year, and renewable for up to 3 years. The postdoc salary varies depending on experience and is commensurate to international standards.

Perspective candidates should make an expression of interest before Tuesday, January 30, 2024.