What you'll do
The NGT Real-time Reconstruction Revolution will transform the CMS High-Level Trigger into an offline-quality reconstruction facility processing up to 750 kHz of events. To make this sustainable, you will lead the design of two complementary data tiers: a low-level reconstructed format that enables trigger rates several times higher than conventional raw-data output while preserving the the option for future reprocessing, and a compact analysis format to save the full 750 kHz stream of online reconstructed events.
Your responsibilities
- Design next-generation data structures that push the limits of data reduction while preserving physics performance and analysis flexibility.
- Ensure all formats are accelerator-native (e.g., structure-of-arrays, SoA) and optimised for high-throughput GPU processing.
- Build an end-to-end framework to rigorously quantify the impact of lossy compression, with clear metrics, reference analyses, and automated regression tests.
- Benchmark compression/decompression under realistic workloads: CPU/GPU cost, I/O throughput, memory footprint, and latency.
- Advance lossless compression, leveraging R³-reconstructed objects and pioneering AI/ML techniques.
- Improve raw data structure to achieve higher compressibility and faster data access.
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Your profile
- Demonstrated contributions to trigger and/or reconstruction in HEP (or comparable high-throughput scientific software).
- Practical understanding of of end-to-end HEP experiment operations, from detector readout to reconstruction, calibrations, datasets, and final physics results.
- Experience working in a large international collaboration (code review, CI/CD, documentation) is a plus.
- Knowledge with LHC experiments and their data formats is a plus.
- Expertise in data compression techniques is a plus. (lossless and/or lossy).
- Experience applying AI/ML methods (e.g., autoencoders) to data reduction is a plus.
- Proficiency in GPU programming and heterogeneous computing is a plus.
- Your studies focused on Physics.
Your skills
- High proficiency in C++, Python, and ROOT.
- Solid understanding of event reconstruction, including calibrations and commonly used data formats in HEP.
- Spoken and written English, with a commitment to learn French.
Global Benefits at CERN
Let's get you ready
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.
You will need these documents to complete your application
- Your CV (English or French)
- Any document you consider relevant to your application
- A copy of your most relevant diploma or a certificate of achievement from your school (if you don't yet have your paper diploma)