19 Mar 2024
Job Information - Organisation/Company
- CERN – European Organization for Nuclear Research
- Department
- Human Resources
- Research Field
- Engineering » Mechanical engineering
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Switzerland
- Application Deadline
- 15 Apr 2024 – 23:59 (Europe/Zurich)
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 40
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Your responsibilities
Join our team to develop ML algorithms for the CMS Level 1 Trigger system as part of the NextGen Triggers project! NGT is a 5-year collaboration between the LHC experiments and the CERN Research and Computing Departments. The project aims to advance the use and impact of innovative Artificial Intelligence technologies and high-performance computing architectures for the LHC experiments’ trigger selection, data processing, and theoretical interpretation. For the High-Luminosity (HL)-LHC upgrade, the CMS collaboration is designing a novel Level-1 Trigger system that will process collision events in real-time and select the most interesting collisions for further analysis. Within the NGT project, we seek to make best use of Machine Learning (ML) algorithms in this upgrade to exploit the full potential of the upgraded experiment.
Responsibilities
- Develop ML algorithms for the CMS Level 1 Trigger, focusing on the correlator subsystem and interfaces with upstream/downstream components.
- Execute the full development cycle, including dataset preparation, model exploration, training, development of emulators, firmware development and integration, and testing/validation.
- Investigate and implement techniques for Machine Learning Operations (MLOps) relating to putting ML models into production, including continuous monitoring and training.
- Collaborate with colleagues from the EP-CMG-OS section and EP-CMD, as well as other staff, fellows, and students in the section, and the wider CMS L1T team.
- Present work at conferences and workshops at CERN and externally.
Requirements
- Research Field
- Engineering » Mechanical engineering
- Education Level
- Master Degree or equivalent
Skills/Qualifications
Skills and/or knowledge
- Knowledge and application of physics reconstruction techniques and algorithms
- Design, implementation, and validation of trigger algorithms, and of FPGA applications
- Knowledge and application of FPGA programming including Hardware Description Languages and High Level Synthesis
- Knowledge and development of Machine Learning algorithms (boosted decision trees, neural networks) including Fast Machine Learning. Machine Learning Operations (MLOps) would be a plus
- Software development platforms (e.g. github, gitlab), and continuous integration
Additional Information
Benefits
Job closing date: 15.04.2024 at 12:00 AM (midnight) CET.
Job reference: EP-CMG-OS-2024-57-GRAP
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Target start date: 01-May-2024
What we offer
- A monthly stipend ranging between 6194 and 6808 Swiss Francs per month (net of tax).
- Coverage by CERN’s comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
- Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
- 30 days of paid leave per year.
- On-the-job and formal training at CERN as well as in-house language courses for English and/or French.
Eligibility criteria
- You are a national of a CERN Member or Associate Member State . A limited number of positions are also available to candidates from Non-Member States.
- You have a professional background in Physics or Computer Science (or a related field) and have either:
- a Master’s degree with 2 to 6 years of post-graduation professional experience;
- or a PhD with no more than 3 years of post-graduation professional experience.
- You have never had a CERN fellow or graduate contract before.
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- CERN
- Country
- Switzerland
- City
- Geneva
- Geofield
Where to apply
- Website
- https://jobs.smartrecruiters.com/CERN/743999974403482-machine-learning-develope…
Contact
- City
- Meyrin
- Website
- https://careers.cern
- Street
- Esplanade des particules 1
- Postal Code
- 1217
- E-Mail
- [email protected]
STATUS: EXPIRED