SW Developer / Experimental Physicist

Big Science Sweden; Genf; Vor Ort; CHF 64.332 - 82.712; Vollzeit

Zusammenfassung

Big Science Sweden is seeking a candidate to join the CERN ATLAS team, focusing on machine learning techniques for track reconstruction within the ATLAS Trigger and Data Acquisition system. The role involves exploring approaches for deployment in the high-luminosity conditions expected during Phase-II operations.

Applicants should have a Master’s degree with relevant experience, or a PhD. This role will offer opportunities to work with a heterogeneous architecture of CPUs and GPUs to innovate in track reconstruction methods.

Qualifikationen

• Master’s degree with 2 to 6 years of experience, or PhD with up to 3 years of experience.
• Experience in machine learning for object reconstruction is preferred.

Aufgaben

• Contribute to research on ML techniques for track reconstruction.
• Explore promising approaches for deployment in the ATLAS EF tracking.

Kenntnisse

Machine learning techniques

Track reconstruction

Asynchronous processing

Algorithms

Ausbildung

Master's degree

PhD

Jobbeschreibung

The Event Filter (EF) is part of the ATLAS Trigger and Data Acquisition (TDAQ) system and consists of a multi-threaded asynchronous processing farm of commodity servers (CPUs with or without accelerators) running a subset of offline-like reconstruction algorithms together with menu-driven event selection.

The high-luminosity conditions expected during Phase-II operations introduce significant challenges for object and event reconstruction algorithms planned for the EF, particularly for track reconstruction. The recent definition of the EF farm as a heterogeneous architecture combining CPUs and GPUs opens new opportunities for deploying machine learning models within the EF tracking workflow.

You will be part of the CERN ATLAS team and will contribute to research into the application of ML techniques for track reconstruction at the HL-LHC, with the goal of identifying and exploring the most promising approaches for deployment in the ATLAS EF tracking. The position is part of the Next Generation Trigger programme.

Be sure to meet the eligibility criteria

• By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
• You have never had a CERN fellow or graduate contract before.
• Please pay attention to the additional criteria and requirements for this specific position and mentioned above.