Data Scientist

Geneva, Switzerland

Applications have closed

CERN

CERN, the European Organization for Nuclear Research, is one of the world’s largest and most respected centres for scientific research. Its business is fundamental physics, finding out what the Universe is made of and how it works.

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Company Description

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.

This is your Quest. Deepen your knowledge and expertise faster than anywhere else on earth. Take Part!

 

Job Description

Do you have data science expertise? Are you experienced in designing effective algorithms and machine learning models for a range of problems? If so, we have the opportunity you are looking for. Join our multi-disciplinary Data Science for Beam Operation team and work at the heart of CERN to optimize particle accelerator operations. You will:

  • Establish best practices for data preparation and collection, architecture, and hyper parameter tuning.
  • Collaborate with team members to establish state-of-the-art algorithms for various accelerator operations projects.
  • Investigate the use of foundation models, notably for hysteresis prediction in collaboration with a PhD student.

Qualifications

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State.
  • You have a Master’s degree and between 2 and 6 years’ experience or PhD with up to 3 years of relevant experience in Data Science (e.g. Machine Learning, Artificial Intelligence) or other related field.
  • You should have a working knowledge of English or French.

Skills and/or knowledge:

  • Proven data science experience solving concrete problems in the field.
  • Experience using machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
  • Experience in building and training ML models for simple regression, computer vision to time series prediction problems.

 

Additional Information

What we offer: 

  • An employment contract of in principle 24 months, with a possible extension up to 36 months;
  • On-the-job and formal training at CERN as well as in-house language courses for English and/or French;
  • A monthly stipend ranging between 6050 and 6650 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.

 How to Apply:

You will need the following documents to complete your application:

  • A CV;
  • A scanned PDF of your most recent relevant qualification;
  • We recommend to add two recent letters of recommendation, giving an overview of your academic and/or professional achievements. You can upload these letters at the time of application if you have them to hand. You will also be provided with a link as soon as you have submitted your application to forward to your referees to upload their letters confidentially.

The earliest expected start date for selected candidates is June 2023.

Ready to take part? Then please submit your application by 23 January 2023 at  midnight (12.00 AM CEST). 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Vision Machine Learning ML models PhD PyTorch Research Scikit-learn TensorFlow

Perks/benefits: Flex vacation

Region: Europe
Country: Switzerland
Job stats:  132  19  0
Category: Data Science Jobs

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