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Moteur de recherche d'offres d'emploi CEA

Stage - Hybrid FeRAM/RRAM synaptic circuit for on-chip learning H/F


Détail de l'offre

Informations générales

Entité de rattachement

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

• La conscience des responsabilités
• La coopération
• La curiosité
  

Référence

2023-30036  

Description du poste

Domaine

Technologies micro et nano

Contrat

Stage

Intitulé de l'offre

Stage - Hybrid FeRAM/RRAM synaptic circuit for on-chip learning H/F

Sujet de stage

Circuit synaptique hybride FeRAM/RRAM permettant l'apprentissage sur puce

Durée du contrat (en mois)

6

Description de l'offre

The Technological Research Department (DRT), who are we?

More than 4,000 people committed to social issues!

With its Technological Research Division (DRT), the CEA acts as an innovation gas pedal for industry in all sectors, meeting the challenges of our health, safety, information technologies and energy future.

 

CEA Tech Corporate from CEA Tech on Vimeo.

 

In the quest for robots capable of expressing robust cognitive behavior based on sensor information, the potential applications are vast. From farming robots adept at fruit picking to those designed for rescuing individuals from collapsed buildings, these autonomous systems represent a powerful future tool. However, there are currently significant barriers to the implementation of these autonomous systems, mainly due to the power consumption. This consumption can be drastically reduced by using hardware-computing systems with an architecture inspired by biology, employing nanodevices that mimic the properties of synapses. Learning in neural networks relies on the adaptability of synaptic connections, which can be replicated through artificial synapses utilizing memory devices. However, the requirements for these memory devices are contradictory. Learning demands iterative refinement of numerous stored values, necessitating memory devices with low programming energy and high endurance. In contrast, inference requires long-term stability and the absence of any read disturbance to process extensive data without interruptions. Currently, no memory technology can simultaneously fulfill both these requirements.

In response to this challenge, we have recently proposed a novel memory that enables the integration of two technologies—resistive switching devices (RRAM) and ferroelectric memories (FeRAM)—in the same circuit. RRAMs provide non-disruptive reading operations, rendering them highly suitable for inference engines. Conversely, ferroelectric memories exhibit ultra-low programming energy and outstanding programming endurance, making them an ideal choice for learning.

The proposed research project aims to prototype and functionally validate an integrated test vehicle with CMOS and the proposed hybrid memory technology. The selected candidate will be positioned at the interface between the nanofabrication and design teams. The primary responsibilities will include the electrical characterization of an already existing chip to evaluate the feasibility of implementing different learning algorithms. This requires familiarity with the basics of computational algorithmics, as well as an understanding of the physics of memory nanodevices. The work will be conducted in close collaboration with CEA-LIST, one of the world's leading advanced design research laboratories.

 

#Neuromorphic

#Nanotechnology

 

Profil du candidat

What do we expect from you?

We are seeking applicants with a strong background in the physics of electronic components and proficiency in electrical characterization techniques. Basic knowledge in neuromorphic computing is advantageous. A genuine enthusiasm for scientific research and the ability to communicate effectively in a multidisciplinary environment will be highly valued.

 

Join us and develop your skills and acquire new ones!

 

Still in doubt? We can offer you :

  • A unique research environment dedicated to ambitious projects that address today's major societal challenges.
  • Experience at the cutting edge of innovation, with strong potential for industrial development,
  • Exceptional experimental resources and top-quality supervision,
  • Real career opportunities at the end of your work-study program
  • A position in the heart of the Grenoble metropolitan area, easily accessible via the soft mobility encouraged by the CEA,
  • A recognized work-life balance,
  • A diversity and inclusion policy,
  • An active CSE in terms of leisure and extra-professional activities.

 

All our positions are open to people with disabilities. The CEA's Mission Handicap provides you with support and makes the necessary adjustments to meet your specific needs.

 

Localisation du poste

Site

Grenoble

Localisation du poste

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

Ville

Grenoble

Critères candidat

Langues

Anglais (Intermédiaire)

Possibilité de poursuite en thèse

Oui

Demandeur

Disponibilité du poste

01/01/2024