Data Scientist - Deep learning models, Geneva

In this role, you will help develop advanced methods to compress deep learning models using low-rank and tensor-network techniques. You will contribute to the pQuant open-source library, working with an interdisciplinary team to make AI models more efficient and scalable, conducting research and development activity as part of a heterogenous team of physicists and computer scientists.

Be sure to meet the eligibility criteria

- By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree. - You have never had a CERN fellow or graduate contract before.- Please pay attention to the additional criteria and requirements for this specific position and mentioned above.

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