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PhD position, machine-learning assisted atomisti ... (No replies)
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A PhD position is open in the field of the development and application of atomistic simulation algorithms using machine-learning interatomic potentials in Alexander Shapeev’s group, Skoltech, Moscow, Russia. A successful candidate should be able to process the results of atomistic simulations and make modifications to the existing codes (e.g., Monte-Carlo simulations); an in-depth algorithm/code development expertise is welcome but not required. Experience with or understanding of atomistic solutions is required. The work will be in close collaboration with the other researchers who focus on algorithm development.
A successfully graduated PhD student will be awarded an internationally recognized PhD degree in Materials Science. English is a working language at Skoltech. The candidates should have at least an upper-intermediate level of English language. The PhD position comes with a scholarship. Applications will be reviewed in two batches (to be reviewed in the first batch the application should be submitted by April 18, for the second batch - till August 1). The starting date of the position is November 1, 2021. The duration of the position is 4 years subject to satisfactory performance.
For more details please visit
https://sites.skoltech.ru/multiscale/vacancies/