Experimental postdoctoral position in neuromorphic spintronics

Researcher Profile: First Stage Researcher (R1)

Application Deadline: 11 Nov 2026 - 23:59 (UTC)

Country: France

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 1 Mar 2027

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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.

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.

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.

Where to apply

https://emploi.cnrs.fr/Offres/CDD/UMR8191-OLIBOU-020/Default.aspx

Requirements

• Research Field: Physics — Education Level: PhD or equivalent
• Research Field: Physics — Education Level: PhD or equivalent
• Research Field: Physics — Education Level: PhD or equivalent
• Languages: FRENCH — Level: Basic
• Research Field: Physics — Years of Research Experience: None
• Research Field: Physics » Solid state physics — Years of Research Experience: None
• Research Field: Physics » Surface physics — Years of Research Experience: None

Additional Information

Eligibility criteria

The candidate must hold a Ph.D. in nanoscience, materials science, condensed matter physics, or an equivalent field.

Additional comments

Financement ANR NEUROWAVE.

Website for additional job details: https://emploi.cnrs.fr/Offres/CDD/UMR8191-OLIBOU-020/Default.aspx

Work Location(s)

• Number of offers available: 1
• Company/Institute: Spintronique et technologie des composants
• Country: France
• City: GRENOBLE

Contact

• City: GRENOBLE
• Website: http://www.spintec.fr