Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Machine learning for neuromorphic devices


   Department of Computer Science

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Prof Eleni Vasilaki, Prof D Allwood, Prof Tom Hayward  Applications accepted all year round  Funded PhD Project (UK Students Only)

About the Project

The groups of Machine Learning and Functional Magnetic Materials group at the University of Sheffield are looking for self-motivated candidates with strong mathematical and computational background to work within the EPSRC funded Project MARCH (Magnetic Architectures for Reservoir Computing Hardware, https://tinyurl.com/xjwjuc34), in the area of reservoir computing. A good background in physics is desirable.

Example of relevant work include: SpaRCe https://arxiv.org/abs/1912.08124 and Hierarchical Echo State Networks: https://arxiv.org/abs/2101.04223.

For further information please contact Professor Eleni Vasilaki on [Email Address Removed]

The Start date for this PhD is the 27th of September.

How to apply

To apply for the studentship, applicants need to apply directly to the University of Sheffield using the online application system. Please name Professor Vasilaki as your proposed supervisor.

Complete an application for admission to the standard Computer Science PhD programme http://www.sheffield.ac.uk/postgraduate/research/apply

Applications should include a research proposal, CV, transcripts and two references.

The research proposal (up to 4 A4 pages, including references) should outline your reasons for applying for this scholarship and how you would approach the research, including details of your skills and experience in [topic area].

Computer Science (8)

Funding Notes

The post is fully funded (home fees + stipend) for UK / Settled status residents.

Where will I study?

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.