Accelerator physicist - Machine Learning & Data Science (SY-RF-BR-2024-18-GRAP)

5 Feb 2024
Job Information

Organisation/Company

CERN - European Organization for Nuclear Research

Department

Human Resources

Research Field

Physics » Other

Researcher Profile

Recognised Researcher (R2)

Country

Switzerland

Application Deadline

3 Mar 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

The Radio Frequency Group (RF)  within CERNs Accelerators Systems Department (SY) , is looking for an Applied Physicist with experience in Machine Learning and Data Science.

The potential of Machine Learning is being explored thoroughly at CERN to improve the efficiency of the accelerator complex exploitation, notably for the operation of Radio Frequency systems. These systems are used to accelerate and define the longitudinal beam parameters, requiring regular fine tuning to ensure the best beam quality for the experiments. Maintaining the reliability of these complex systems to the highest level is a challenge demanding for new developments and approaches.

In this position, you will:

• Contribute to the development and large-scale deployment of models for online optimization of the beam parameters (e.g. through reinforcement learning);
• Propose innovative approaches to assist experts investigating for the root cause of the Radio Frequency system faults, anomaly detection, and predict failures in view of preventive maintenance; 
• Represent the Radio Frequency group and take part in the growing Machine Learning community for accelerator applications. 

Requirements

Research Field

Physics » Other

Education Level

Master Degree or equivalent

Skills/Qualifications

Skills and/or knowledge

• Experience in software development using Python;
• Experience in development of machine learning models; 
• Knowledge of applied electromagnetism;
• Basic knowledge of electronics for signal acquisition and processing. 

Advantageous:

• Knowledge of accelerator physics or beam dynamics would be an asset. 

Language skills:

• Fluent in English, the ability to work in French would be an advantage.

Eligibility criteria:

• You are a national of a CERN Member or Associate Member State .
• You have a professional background in Masters or PhD degree in Applied Physics (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.

Additional Information
Additional comments

Job closing date: 03.03.2024 at 23:59h (midnight) CET.

Job reference: SY-RF-BR-2024-18-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.

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/743999964988622-accelerator-physicist-mac…

Contact

City

Meyrin

Website

https://careers.cern

Street

Esplanade des particules 1

Postal Code

1217

E-Mail

[email protected]

STATUS: EXPIRED