ML/AI Engineer in Applied Physics
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Datum: 10 september, 2025 Tid: 23:59
Placering: CERN
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Are you driven by solving complex challenges and eager to shape the future of cutting-edge technology? Join an international, interdisciplinary team that's revolutionising the way we control and operate CERN's particle accelerators, the most powerful machines of their kind on Earth. If you have a strong background in machine learning for modelling and control, this is your opportunity to make a real impact.
As a Project Graduate on the Efficient Particle Accelerators (EPA) project, you'll be at the forefront of innovation, developing state-of-the-art machine learning and AI solutions to enable fully data-driven magnetic hysteresis control across the world's largest particle accelerator complex.
Eligibility criteria:
- You have a professional background in Applied physics, Data Science & Data (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.