PhD position – High-throughput screening of 2D spintronic materials


In the context of the PEPR SPIN exploratory program aiming at the development of spintronics at the French national level, applications are invited for a PhD position in the fields of computational materials science, condensed matter theory and device physics applied to spintronics.

The aim of the PhD project is to identify and characterize useful 2D materials for various spin-orbitronics applications relevant to the PEPR Spin, based on ab initio calculations. High-performance computing and high-throughput techniques will be employed to screen a database of exfoliable 2D materials and a set of relevant parameters for the most promising candidates will be computed. Special attention will be paid to enabling valuable exchanges with different work packages of the whole PEPR Spin consortium. This includes taking inputs from other experimental and theoretical work packages and disseminating the results of our work through a simple interface.

The motivated candidate must hold a masters degree and is expected to have a strong background in computational science and condensed matter theory. Computational skills are a must, as the PhD will involve a significant amount of coding (mostly in Python). Experience with supercomputers and ab initio calculation is a plus. This should be combined with the ability to absorb complex quantum physical concepts to develop meaningful ab initio models. A good understanding of the mechanisms involved in prospective spintronic devices will be preferable to identify the best materials.

More details can be found here.

This topic is a joint action between Laboratoire Charles Coulomb (CNRS, Univ. of Montpellier) and SPINTEC (Univ. Grenoble Alpes, CNRS, CEA). The PhD will take place in Montpellier (France) with a periodic visits to Grenoble (France), under the supervision of T. Sohier (L2C, Montpellier) and M. Chshiev (Spintec, Grenoble).

Contacts: T. Sohier and M. Chshiev
Deadline: 1st June 2023. The position can be closed before this date if a suitable candidate is identified.
Starting date: October 2023

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