About the Project
In this PhD project, we will distill the benefits of various control theory approaches into a spiking neural network model, that is biologically plausible in mechanism, architecture and learning, and possibly outperforms similar current approaches. We will benchmark these control networks on biological limb and prosthetic models. We will compare these networks with experimental data and port them to neuromorphic hardware as well.
A background in Control theory, Physics and/or Computational neuroscience, with good coding skills, is desirable.
If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component. More details regarding English Language Qualifications can be found here - https://www.sheffield.ac.uk/postgraduate/english-language
To apply for the project, applicants need to apply directly to the University of Sheffield using the online application system. Complete an application for admission to the standard Computer Science PhD programme
Please name Dr Aditya Gilra as your proposed supervisor in your application.
Applications should include a research proposal, transcripts and two references.
The research proposal (up to 4 A4 pages, including references) should outline your reasons for applying for this project and how you would approach the researching, including details of your skills and experience.
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