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/Job opportunities/Design of a spintronic synapse for advanced neuromorphic circuits

Design of a spintronic synapse for advanced neuromorphic circuits

Research & development - Leuven | More than two weeks ago

Design and modelling of an artificial synapse in the larger goal of building advanced spintronic neural networks and spin-wave-based computation
Bio-inspired neuromorphic computing promises to realize the transformative potential of Artificial Intelligence (AI) by providing a path for the implementation of ultra-low power and advanced AI. Spintronic and magnetic materials are particularly attractive for neuromorphic computing owing to their small footprint, high endurance and low power consumption. Building on past work1 which involved the design of an artificial neuron that was the first to demonstrate multiple advanced cognitive abilities, here we propose to design a compatible spintronic synapse. A synapse is an adaptive memory element in the brain that stores information and learns new knowledge. This project involves the design of a novel artificial synapse that utilizes (i) magnetic domain walls and (ii) spin waves and leverages recently discovered coupling between the two2. This artificial synapse will be an important step forward in the larger goal of building advanced spintronic neural networks and spin-wave-based computation. The project will involve atomistic and micromagnetic simulations of the materials and devices that will be carried out by the Master’s student.


1. P. Jadaun, C. Cui and J. A. Incorvia, Design of self-adaptive oscillating neurons using electrically reconfigurable skyrmion lattices, Preprint arXiv:2010.15748, under review.

2. J. Han, P. Zhang, J. T. Hou, S. A. Siddiqui and L. Liu, "Mutual control of coherent spin waves and magnetic domain walls in a magnonic device," Science, vol. 366, p. 1121–1125, 2019.

Type of project: Thesis

Duration: 1 Academic year

Required degree: Master of Engineering Science, Master of Science

Required background: Nanoscience & Nanotechnology, Physics, Electrotechnics/Electrical Engineering

Supervising scientist(s): For further information or for application, please contact: Priyamvada Jadaun (

Only for self-supporting students.