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Master 2 Internship - Spintronics for emerging computing H/F

Vacancy details

General information


The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France



Description de l'unité

Within CEA-Leti, the Laboratory of Devices for Memory and Computing (LDMC) develops innovative non-volatile memories (NVM) for embedded memories and emerging computing applications (neuromorphique computing, in-memory computing…). This lab benefits from international visibility for research excellence in the field, and covers a broad spectrum from device integration and nanofabrication to the design of technology demonstrators.

Position description


Micro and nano technologies



Job title

Master 2 Internship - Spintronics for emerging computing H/F


Networks of stochastic magnetoresistive components for ultra-low-power cognitive computing

Contract duration (months)


Job description

The automated resolution of cognitive tasks primarily relies on learning algorithms applied to neural networks which, when executed on standard architectures, lead to a power consumption several orders of magnitude larger than what the brain would require. This consumption can be drastically reduced by using hardware computing systems with an architecture inspired by biological or physical models, based on nanodevices mimicking the properties of neurons such as the emission of stochastic or synchronous spikes.

Numerous theoretical proposals have shown that nanoscale and multifunctional magnetic tunnel junctions (MTJ) are particularly adapted. The next step is to have a large number of such components interacting on-chip via reconfigurable coupling weights, and demonstrate experimentally an advantage on standard cognitive tasks, both in terms of performance and energy consumption.

This Master 2 research project is part of a larger collaboration between Leti and Spintec, and can later be extended to a PhD project. We propose to i/ study the coupling dynamics of off-chip coupled stochastic MTJs, ii/ perform the characterization of small hybrid (CMOS+sMTJ) integrated circuits acting as binary stochastic neurons.  The candidate will become familiar with the inner workings of the neural network, such as the importance of topology and stochasticity on runtime and efficiency, using Matlab or Python toy models. An understanding of the device physics, in particular the impact of stack design and nanofabrication choices on the measured characteristics will also be needed.

Applicant Profile

We are looking for outstanding applicants with a strong background in the physics of electronic and magnetic components, as well as nanofabrication and electrical characterization techniques. Basic knowledge in neuromorphic computing is an advantage. An enthusiasm for scientific research and the ability to communicate in a pluridisciplinary environment will be highly valued.       

Position location



Job location

France, Auvergne-Rhône-Alpes, Isère (38)



Candidate criteria

Prepared diploma

Bac+5 - Master 2

Recommended training

Pursuing a Master's Degree or equivalent, at the University or an Engineering school

PhD opportunity



Position start date