Job ID: 172383

Computational Skyrmionics for Neuromorphic Computing

University of Manchester

  • Nov. 15, 2021
 
  • Computational Skyrmionics for Neuromorphic Computing
  • Computer Science
  • https://www.cs.manchester.ac.uk/
  • University of Manchester
    Manchester
    United Kingdom
 
  • Dec. 3, 2021
  • Feb. 1, 2022
  •  
 
  • Post-Doc
  • Electrical and/or Electronics
    Computer Engineering
    Computer Science
 
 

The University seeks to appoint a research associate in the Department of Computer Science to work on an interdisciplinary project between the Nano Engineering and Spintronic Technologies (NEST), the Advanced Processor Technologies (APT) groups in Manchester and Imperial College. The candidate will conduct computational research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In particular, the candidate will work towards the development of skyrmionics-based neuromorphic components, such as nanosynaptic devices, considering realistic operating conditions. The post will be hosted by the Nano Engineering and Spintronic Technologies (NEST) group.

The principal aim of the project is to build next-generation artificial synapses by exploring the potential of non-volatile artificial synapses, based on nanoscale magnets, for energy-efficient brain-inspired operations (neuromorphic computing). There is a recognised need for ultra-low power and always-on sensory data processing and neuromorphic hardware is one of the most promising routes for AI applications. The project goal is to demonstrate that nanoscale skyrmionics synapses (that use nanoscale whirling vortex-like magnetic states called skyrmions as information carriers) are a viable candidate for energy-efficient smart edge-computing devices.

The specific tasks will involve the development of models of fundamental components for skyrmion-based neuromorphic electronics, defining device operational windows and interfacing with experimental work to guide fabrication. A further set of tasks will involve advanced spiking neural network simulations and developing related compact models that describe the interface with CMOS circuits and perform circuit simulations.

You will be part of the NEST research group and will be expected to work closely with the PIs of the project. As the project has both an experimental and simulation activity, the PDRA will be a key part of the team and it will be essential for the success of the project that the post holder works directly with the other PDRA and PhD students on interfacing the computational work and simulations that will inform the device design process with the experimental part. The candidate will be expected to communicate the results of the research to a wider cross-disciplinary academic and industrial community through high quality publications and at international conferences and workshops.


  • The School of Computer Science is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School received a Bronze Award in 2013 for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-s….


 
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