Numerical Scientist (Machine Learning/Quantum Physics)

Numerical Scientist (Machine Learning/Quantum Physics)

The Skolkovo Institute of Science and Technology’s Laboratory for Quantum Information Processing is seeking a candidate familiar with computational physics.  We are particularly interested in candidates experienced in quantum physics and/or deep learning.    Experience in high-performance computing and parallel algorithms is a plus.  The start date is flexible.


The candidate will work as part of a team lead by Jacob Biamonte devoted to realizing national priority initiatives supporting the development of quantum computing.  The laboratory is focused on the theory and applications of quantum algorithms.  The candidate is expected to optimize and develop numerical solutions related to the emulation of quantum systems.  Additionally, the candidate should be able to apply neural networks to provide solutions to data driven quantum problems related to experimental data.  


Experience in high-performance computing and parallel algorithms. Experience in quantum physics and/or deep learning.Experience level – 1-3 years or 5 years plus depending on background. Candidates would typically hold a PhD or equivalent experience.

Applications should be sent to or to with a title ”NumericalScientist” and should include:
1) a motivation letter;
2) a CV including a list of publications and list of the referees;
3) a research statement;

The position will remain open till a suitable applicant is found, the applications will be considered until December 20.
For more information on Skoltech, please visit For more information on Deep Quantum Lab, which is led by Prof Jacob Biamonte, please go to . For more information on vacancy, please visit .

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