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

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.