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:
Your profile
Skills and/or knowledge
Eligibility criteria:
Job closing date: 14.04.2024 at 12:00 AM (midnight) CET.
Job reference: SY-ABT-PPE-2024-53-GRAE
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Target start date: 01-July-2024
This position requires:
What we offer
About us
At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world’s largest and most complex scientific instruments, they study the basic constituents of matter – fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.
Diversity has been an integral part of CERN’s mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.