CERN invites applications for an Applied Physicist in ATLAS Trigger Reconstruction to design and implement triggering algorithms for the HL-LHC, including ML/AI approaches, develop tools for trigger menu studies, and simulate selections while meeting resource and rate constraints within the ATLAS trigger software. The role includes supervising students and working with ATLAS trigger and TDAQ upgrade experts. A collider physics background and hands-on AI/ML experience with trigger systems are essential, along with software skills and excellent communication, plus fluent English and a commitment to learning French. To apply, tailor your CV to highlight ML/AI and trigger work, quantify improvements to trigger rates, and show leadership; eligibility Master 2–6 years or PhD up to 3; no prior CERN fellowship. Closing date 22.07.2026 23:59 CEST; start Oct 1, 2026.
The goal of this project is to introduce innovative selections into the ATLAS trigger system to improve the identification of events in difficult regions of the parameter space, including rare Standard Model processes and exotic signatures. In collaboration with NextGen doctoral students, the selected candidate will contribute to the development of the trigger menu for the High-Luminosity Large Hadron Collider (HL-LHC) era. The position is part of the Next Generation Trigger programme.
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Eligibility criteria:
Job closing date: 22.07.2026 at 23:59 CEST.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Fully Onsite
Target start date: 01-October-2026
This position involves:
Job reference: EP-ATL-OSW-2026-124-GRAP
Field of work: Experimental Physics
Benchmark job: 200140 - Applied Physicist
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