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Using nanoscale magnetic materials to develop novel artificial intelligence technologies

  • Full or part time
  • Application Deadline
    Monday, April 29, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

We are seeking an enthusiastic, motivated individual to join our efforts to develop next generation artificial intelligence technologies. We are offering a 3.5 year fully funded PhD project within the Departments of Materials Science and Engineering and Computer Science at the University of Sheffield, UK.

The PhD project will focus on how we can use the unique properties of nanoscale magnetic materials to create “neuromorphic” computational devices – i.e. those with form and/or function that mimics that of the human brain. Creating such devices is expected to greatly enhance the capability and availability of artificial intelligence, both of which are currently limited by the constraints of conventional computer chip designs. Depending the strengths/skillset of the successful applicant the project will either be modelling-based, or combine modelling and experimental work, to pioneer new approaches to creating neuromorphic devices. In the latter case the successful applicant will be able to take advantage of the world-class fabrication and characterisation facilities offered by the University of Sheffield’s Nano Centre and Henry Royce Institute for Advanced Materials Research and Innovation.

This project would suit a candidate with a 1st or 2:1 Bachelor or Masters degree in any of the following: Physics, Materials Science, Electronic Engineering, Computer Science or related subject.

Funding Notes

To be eligible for a studentship, you must either be a U.K. citizen or a European Union national who has been resident in the UK for at least 3 years prior to starting the course. For more information, contact Dr. Tom Hayward ().

How good is research at University of Sheffield in Electrical and Electronic Engineering, Metallurgy and Materials?
Materials Science and Engineering

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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