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Research Associate in Skyrmionics for Neuromorphic Computing

The University of Manchester - Faculty/Organisation: Science and Engineering School/ Directorate: Department of Computer Science

Location: Manchester
Salary: £33,309 to £40,927 per annum depending on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th October 2021
Closes: 28th October 2021
Job Ref: SAE-016850
 

Contract Duration: Fixed term from as soon as possible until 30 June 2023 with possible extension

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. You will conduct research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In particular, you will work towards the development of skyrmionics-based neuromorphic components, such as nanosynaptic devices, taking into consideration realistic operating conditions. The post will be hosted by the Nano Engineering and Spintronic Technologies (NEST) group. The NEST group is a vibrant community of interdisciplinary researchers working on a variety of topics including spintronics, magnetic data storage, nano-technology applications, numerical modelling and simulation. The group are active members of the National Graphene Institute (NGI), the Royce institute for advanced materials. More information can be found at: 

http://nest.cs.manchester.ac.uk/

https://skyrmionics.org/ 

Overall Purpose of the Job

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 growth of ultrathin magnetic films and multilayers, advanced characterisation of films, interface quality and magnetic properties. A further set of tasks will involve advanced lithography for nanofabricating devices, imaging and electrical characterisation and operation of devices.

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, you 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 PDRA and PhD students on interfacing the experimental part with the computational work and simulations that will inform the device design. You 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 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 holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/                                       

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Christoforos Moutafis

Email: christoforos.moutafis@manchester.ac.uk

General enquiries:

Email: hrservices@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more

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