Postdoctoral position in spintronics for neuromorphic computing (M/F)
New
- Researcher in FTC
- 21 months
- Doctorate
Offer at a glance
The Unit
Spintronique et technologie des composants
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
38054 GRENOBLE
Contract Duration
21 months
Date of Hire
01/03/2027
Remuneration
Between 3041.58 € and 4 216.7€
Apply Application Deadline : 11 November 2026 23:59
Job Description
Missions
The rising energy demand of artificial intelligence and large-scale data processing has led to a search for alternative low-power computing solutions beyond von Neumann architecture. Non-conventional computing approaches such as brain-inspired neuromorphic computing, wave-based computing, and reservoir computing, offer promising routes toward faster and more energy-efficient information processing. Spintronic devices are particularly attractive for non-conventional computing owing to their intrinsic non-volatility, high endurance, fast dynamics and potential for ultra-low-power operation. Recent advances have highlighted the potential of magnetic excitations, including chiral solitons and propagating spin waves, as physical building blocks for unconventional computing architectures. These magnetic excitations can be used to emulate neural networks and perform complex machine learning tasks with ultra low energy using reservoir computing and physical neural networks paradigm.
Spintec proposes an experimental postdoctoral position in neuromorphic spintronics focusing on the manipulation of magnetic solitons, such as skyrmions, and spin waves for unconventional computing. The objective is to develop and investigate nanomagnetic neural-network hardwares capable of performing fast, energy-efficient machine learning tasks.
Activity
The successful candidate will work at the intersection of materials science, magnetization dynamics, and computing. The activities will include the development of novel material systems to stabilize and excite the desired spin excitation, to investigate their dynamics using high frequency electrical and magnetic microscopy techniques, to develop physical models and training algorithms, to implement and experimentally validate hardware based machine learning tasks, such as pattern recognition and predictions tasks.
Your Profil
Skills
The candidate must hold a Ph.D. in nanoscience, materials science, condensed matter physics, or an equivalent field.
Your Work Environment
The position is located at the Spintec laboratory in Grenoble. The laboratory is equipped with all the necessary tools for the fabrication and characterization of spintronic devices: a sputtering system, equipment for characterizing magnetic properties using variable-temperature magnetometry (VSM, SQUID, AHE, MOKE), a nanofabrication platform (e-beam, IBE, RIE, optical lithography, SEM …), a microwave measurement bench, and a Kerr effect optical magnetic microscope.
Compensation and benefits
Compensation
Between 3041.58 € and 4 216.7€
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR8191-OLIBOU-020 |
|---|---|
| CN Section(s) / Research Area | Condensed matter: electronic properties and structures |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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