Missions

The first objective of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks.

Activités

- Micromagnetic simulations
- machine learning simulations
- Growth of metallic heterostructures by sputtering / ALD
- Optical and e-beam lithography
- Ion beam and reactive etching
- Fabrication of skyrmion based nano-devices
- Electrical characterization of their magnetotransport and dynamical properties
- Electrical and MOKE measurements

Compétences

- Expertise in the growth and fabrication of magnetic nanostructures
- Expertise in nanomagnetism and spintronics with emphasis on magnetic skyrmions
- Expertise in electrical and MOKE measurements
- Expertise in micromagnetic simulations
- Experience with Python
- Micro/nano device fabrication techniques, including sputtering, evaporation, electron-beam lithography, optical and laser lithography, reactive-ion etching and plasma etching
- Physical characterization techniques, including X-Ray diffraction, scanning electron microscope, atomic force microscopy

Contexte de travail

The work will be carried out at the Albert Fert Laboratory, in the "Neuromorphic Physics" team exploring the use of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students.

Contraintes et risques

NA

Informations complémentaires

NA