Project Graduate on the Efficient Particle Accelerators (EPA) project

Job Posting Organization:
CERN, the European Organization for Nuclear Research, was established in 1954 and is one of the world's largest and most respected centres for scientific research. With a mission to probe the fundamental structure of the universe, CERN employs thousands of scientists, engineers, and support staff from over 100 countries. The organization operates the world's largest particle physics laboratory, housing complex scientific instruments that allow researchers to study the basic constituents of matter. CERN's commitment to diversity and inclusion is a core value, ensuring a collaborative and innovative environment for all employees.

Job Overview:
The Project Graduate position on the Efficient Particle Accelerators (EPA) project at CERN offers a unique opportunity to engage in groundbreaking research and development in the field of machine learning and artificial intelligence. The role is designed for individuals who are passionate about solving complex challenges and eager to contribute to the future of particle physics. As part of an interdisciplinary team, you will work on developing state-of-the-art solutions for data-driven magnetic hysteresis control, which is crucial for the operation of the world's largest particle accelerator complex. The EPA project aims to fully automate accelerator commissioning, operation, and fault diagnostics over the next five years, making this a pivotal role in shaping the future of particle accelerators. You will collaborate with experts from various departments, gaining hands-on experience in applying machine learning to real-world problems, and will be expected to present your findings at international workshops and conferences, thereby contributing to the global scientific community.

Duties and Responsibilities:
As a Project Graduate, your responsibilities will include conducting research to develop new control algorithms that address the limitations of existing solutions. You will collaborate closely with experts in magnet operations and accelerator physics to devise robust and reliable solutions. Additionally, you will be tasked with developing and implementing improved data collection schemes for hysteresis based on field and beam measurements, which will facilitate the creation of machine learning models with high forecasting accuracy. Planning and executing tests of these models on accelerators to evaluate their performance under operational conditions will also be a key part of your role. You will be expected to stay updated with the latest developments in machine learning and AI, ensuring that your work is at the cutting edge of technology.

Required Qualifications:
Candidates must possess a strong foundation in machine learning methods and computer science, with hands-on experience in applying these skills to real-world problems. Advanced programming skills, particularly in Python, are essential, along with familiarity with machine learning libraries such as PyTorch. Strong problem-solving abilities and the capacity to work independently are crucial, as is the ability to communicate effectively and collaborate within an international and multidisciplinary team. Knowledge of accelerator physics and research experience in control algorithm development are desirable but not mandatory.

Educational Background:
Applicants should have a professional background in Applied Physics, Data Science, or a related field. A Master's degree with 2 to 6 years of post-graduation professional experience is required, or alternatively, a PhD with no more than 3 years of post-graduation professional experience. It is important that candidates have not previously held a CERN fellow or graduate contract.

Experience:
The position requires candidates to have a professional background that includes either a Master's degree with 2 to 6 years of relevant experience or a PhD with up to 3 years of experience. This ensures that applicants have a solid understanding of the field and the necessary skills to contribute effectively to the project.

Languages:
Fluency in spoken and written English or French is mandatory, with a commitment to learn the basics of the other language being a requirement. This bilingual capability is essential for effective communication within the diverse international team at CERN.

Additional Notes:
The contract duration for this position is 24 months, with the possibility of extension up to a maximum of 36 months. The working hours are set at 40 hours per week, with a target start date of October 1, 202

• The position offers a competitive monthly stipend ranging from 6287 to 6911 Swiss Francs (net of tax), along with comprehensive health coverage for the employee and their family, membership in the CERN Pension Fund, and various allowances depending on individual circumstances. Employees are entitled to 30 days of paid leave per year, and there are opportunities for on-the-job training and formal training at CERN, including in-house language courses.