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  Spintronic devices for neuromorphic computation


   School of Physics, Engineering and Technology

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  Prof A Hirohata  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Recent development in neuromorphic computation will achieve low power and highly efficient calculations as compared with the conventional von Neumann computation. For realistic synaptic operation, potentiation needs to be added as weighting to a selected artificial synapse. This can be achieved by reducing the electrical resistance of the artificial synapse arrayed in parallel. In this project, we extend our study to a magnetic tunnel junction, which is the fundamental building block of spintronic devices.

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.


Engineering (12) Physics (29)

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website https://www.york.ac.uk/physics-engineering-technology/study/funding/ for details about funding opportunities at York.

References



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