Junior Electronics / Data Science Engineer (SY-ABT-PPE-2024-53-GRAE)

21 Mar 2024
Job Information

Organisation/Company

CERN - European Organization for Nuclear Research

Department

Human Resources

Research Field

Computer science » Computer systems

Researcher Profile

Recognised Researcher (R2)

Country

Switzerland

Application Deadline

14 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

We are seeking a passionate and motivated Engineer with a training in machine learning techniques to join our Efficient Particle Accelerators project team. In this role, you'll join the Accelerator Systems Department (SY) , more specifically the Accelerator Beam Transfer Group  (ABT), which is responsible for the design, development, construction, installation, exploitation and maintenance of injection and extraction related equipment and beam-transfer systems. 

As a Junior Engineer, you will play a key role in the selection and deployment of an Internet of Things (IoT) electronic acquisition solution for collecting data from accelerator parts and developing the corresponding software stack to process the collected data using machine learning techniques for fault prognostics and enhanced diagnostic capabilities.

Specifically, you will:

• Collaborate with a team of engineers to design, develop, and implement a hardware and software system for data collection and machine learning-based fault prognostics;
• Develop and implement algorithms for data acquisition, preprocessing, and feature extraction from the IoT device; 
• Train and validate machine learning models for fault/anomaly detection, classification, and prognostics; 
• Integrate machine learning models into the software stack for real-time fault detection and notification; 
• Document and test the developed hardware and software components to ensure reliability and performance; 
• Stay up-to-date with the latest advancements in machine learning and hardware technologies relevant to the project; 
• Develop a framework to simplify the adoption of a similar software layer from other groups;
• Play a role in the coordination of activities within the Equipment Automation work-package and the community of scientists and engineers working on similar activities.

Requirements

Research Field

Computer science » Computer systems

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

Skills and/or knowledge

• Initial experience with python programming and data science that can be demonstrated by recent university projects, summer placements or an initial work experience.
• Project experience with machine learning techniques for anomaly detection will be considered a plus.
• Additionally, some hardware experience is desired at with electronics development platforms such as one or more of the following: rasberry Pi, digital signal processors boards, data acquisition systems, sensors or analog to digital converters.

Additional Information
Benefits

• A monthly stipend ranging between 5119 and 5631 Swiss Francs (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 .
• By the application deadline, you have a maximum of two years of professional experience since graduation in Engineering (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
• You have never had a CERN fellow or graduate contract before.
• Applicants without University degree are not eligible.
• Applicants with a PhD are not eligible.

 

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/743999975016692-junior-electronics-data-s…

Contact

City

Meyrin

Website

https://careers.cern

Street

Esplanade des particules 1

Postal Code

1217

E-Mail

[email protected]

STATUS: EXPIRED