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Portail > Offres > Offre UMR9001-JOOKIM-002 - Post-doc : Dynamique non linéaire des ondes de spin pour les réseaux de neurones artificiels (H/F)

Postdoctoral position: Nonlinear spin wave dynamics for artificial neural networks

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : jeudi 16 décembre 2021

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General information

Reference : UMR9001-JOOKIM-002
Workplace : PALAISEAU
Date of publication : Thursday, November 25, 2021
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 February 2022
Proportion of work : Full time
Remuneration : 2728 to 3881 € gross per month depending on experience
Desired level of education : PhD
Experience required : 1 to 4 years


The primary objective of the European project k-Net, which provides funding for this position, is to develop artificial neural networks based on nonlinear spin wave (or magnon) interactions in ferromagnetic materials. Magnon-magnon interactions are not only governed by material parameters, but also by mode amplitudes which can be controlled in part by external driving sources like radiofrequency fields and torques due to spin currents. The challenge is to identify dynamical regimes in which a magnonic neural network can be established, along with the control mechanisms needed to exploit such networks for information processing. The postdoctoral researcher will be in charge of developing theoretical and simulation tools to establish a framework in order to understand how such magnonic neural networks function.


- Formulate a theory of eigenmodes for magnetic micro- and nanostructures, and quantify mode interactions using micromagnetics simulations
- Develop models for magnonic neural networks and strategies to exploit these for information processing
- Conceive experimental tests and interpret experimental data obtained within the project consortium


- Solid background in physics in general
- Expertise in high performance computing or modelling of magnetic phenomena
- Knowledge of dynamical systems theory
- Knowledge of artificial neural networks
- Capacity to work in a collaborative environment

Work Context

The Centre for Nanoscience and Nanotechnology (C2N) is a joint research unit of the CNRS and Université Paris-Saclay, and is located in Palaiseau in the greater Paris area. The research activities of the institute are carried out along four main lines – nanoelectronics, photonics, materials science, and micro- and nanosystems – which are supported by one of the largest nanofabrication clean room facilities in France. The projects developed along these lines range from fundamental physics to applications and involve experimental and theoretical work.

The Novel Magnetic Devices group studies physical phenomena in magnetism and spintronics that can lead to applications in information storage and processing. In particular, the group possesses world renown expertise in the theory and modelling of dynamical processes on the nanoscale, which are carried out in synergy with experimentalists in the group, as well as collaborators in close proximity within the Saclay area. Within the k-Net project, these theoretical efforts will also be conducted in collaboration with other partners at the CNRS and CEA in France, along with research groups in Germany, Italy, and Hungary.

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