Your responsibilities

Robotics are used at CERN for inspection, environmental measurements, maintenance and repair tasks. Fundamental to the success of the robotic missions are the sensors used to perceive the environment of the robot, as well as the processing of the sensory data to have meaningful information for the robotic operators.
At CERN, cameras are widely used for this, from web cameras to endoscopic cameras, to RGBD cameras and other visual systems. Other sensors include thermal cameras. Machine learning and computer vision techniques can be applied on camera images to detect objects, their pose and other semantic information.

You will be part of :

• The Beams department, responsible for the beam generation, acceleration, diagnostics, controls and performance optimization for the LHC and its injector accelerators.
• The Controls Electronics and Mechatronics (CEM) Group, which develops and maintains a centralized competence in controls hardware and low-level software, electronics design, production and radiation tolerance, mechatronics and robotics, test and measurement systems. 

In this position, you will work on a challenging project that has the goal to detect objects and obstacles within Experimental Physics Detector cavers, allowing robots to navigate and to inspect in an autonomous way these cluttered environments.

Your profile

Skills and/or knowledge

• Proven experience in C++ frameworks, Computer Vision Algorithms and Machine learning techniques;
• Knowledge of machine learning libraries such as TensorFlow and Pytorch
• Knowledge of point cloud processing Experience with camera drivers 
• 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 informatique (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 fellow or graduate contract before.

Job closing date: 17.09.2023 at 12:00 AM (midnight) CET.

Job reference: BE-CEM-MRO-2023-57-GRAP

Contract duration: 24 months, with a possible extension up to 36 months maximum.

Target start date: 01-January-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.

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.

We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.

Begin your CERN Quest. Take Part!

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.