Data Scientist - Deep learning models

Big Science Sweden; Genf; Vor Ort; CHF 80.000 - 100.000; Vollzeit

Zusammenfassung

Big Science Sweden in Geneva, Switzerland, is seeking an experienced professional to help develop advanced methods for compressing deep learning models using innovative techniques. Candidates should have a master’s degree and relevant work experience or a PhD with limited experience. You will be contributing to the pQuant library within a diverse team of computer scientists and physicists focused on making AI models efficient and scalable. This role offers a unique opportunity to engage in cutting-edge research.

Qualifikationen

• 2 to 6 years of professional experience since graduation with a master's degree, or a PhD with a maximum of 3 years.
• No prior contracts with CERN as a fellow or graduate.

Aufgaben

• Help develop methods to compress deep learning models.
• Contribute to the pQuant open-source library.
• Work with an interdisciplinary team conducting research and development.

Ausbildung

Master's degree or PhD in a relevant field

Jobbeschreibung

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.