Quantum Machine Learning Researcher

vor 4 Wochen


Genf, Genf, Schweiz CERN Vollzeit

Job Title: Quantum Machine Learning Researcher

Job Summary:

CERN Quantum Technology Initiative invites applications for a postdoctoral research position focusing on the theoretical foundations of quantum machine learning algorithms. This role aims to enhance the understanding and development of trainability, generalization, and robustness of QML algorithms towards the transition from NISQ to FTQC.

Key Responsibilities:

  • Conduct independent research on the theoretical aspects of quantum machine learning algorithms.
  • Investigate the trainability, generalization, and robustness of QML models, particularly in the context of HEP simulations.
  • Explore the interplay between quantum information and quantum field theory in the development of quantum computing algorithms.
  • Combine the strengths of QSVT with tailored data encoding strategies and variational components, for robust and implementable algorithms for current quantum platforms but also designed to tackle large-scale and complex problems as quantum hardware advances.
  • Supervise and mentor a group of younger researchers, including PhD and Master's students, guiding their research projects and fostering their academic growth.
  • Collaborate with an interdisciplinary team of physicists, computer scientists, and engineers within CERN QTI.
  • Publish research findings in leading scientific journals and present results at international conferences and workshops.

Requirements:

  • PhD in Physics, Computer Science, Mathematics, or a closely related field.
  • Strong theoretical background in quantum information theory, representation learning, and quantum computing.
  • Knowledge of group algebra and quantum field theory is preferred.
  • Demonstrated ability to conduct high-quality research, evidenced by a strong publication record.
  • Experience in supervising and mentoring students or junior researchers is desirable.
  • Strong communication skills and the ability to work collaboratively in a multidisciplinary environment.
  • Fluent in English, the ability to work in French would be an advantage.


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