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vor 2 Wochen

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What you'll do Join the ATLAS Trigger and DAQ system as part of the Next-Generation-Trigger project to work on the Global Hardware Trigger, an upgrade that will be deployed for the High-Luminosity LHC programme for real-time data processing and event filtering using state-of-the-art field programmable gate arrays (FPGAs). Take an active role in developing algorithms and infrastructure, including novel system-on-chip architectures capable of high-speed Machine Learning (ML) inference, to make optimal use of the available information from the calorimeter and muon systems for deriving the decision of this first step in the event selection chain of ATLAS. Your responsibilities Develop and maintain pipelines for streamlining the end-to-end process of developing, optimizing and implementing ML algorithms into the Global firmware framework, and supporting the ATLAS Global community in using these pipelines; Contribute to the Global hardware integration activities at CERN; Explore/develop/optimise novel ML algorithms for Global and play a leading role in developing the Trigger menu and strategy for the start of the HL-LHC programme; Explore/develop/optimise the concepts of anomaly detection, trigger-level analysis and data-scouting in ATLAS, using the Global system. Your Profile Track record in developing novel ML algorithms; Background in computational statistics; Some experience with FPGA firmware development; Your studies focused on Physics, Computer Science. Your Skills Modern C++ and Python programming techniques; Writing and testing algorithms for data processing and filtering purposes; Knowledge of hardware description languages (HDL) or high-level synthesis (HLS) tools and concepts is highly desirable; Spoken and written English, with a commitment to learn French Ideal start date: 01/01/2026Contract duration: 24 month contractJob flexibility: Fully Onsite Employment conditionsWork during nights, Sundays and official holidays, when required by the needs of the Organization. #J-18808-Ljbffr

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