About the Project
The idea of the proposed research is based on the concept of Liquid State Machines (LSMs). LSMs are computational constructs that share similarities with neural networks in terms of their structure and how information is processed. They are represented by a complex network of non-linear components that are capable of processing time varying input data, which makes them suitable for performing tasks like classification, stochastic inference, speech recognition or computer vision. Novel aspects and opportunities of this research are to explore introducing reconfiguration options into the LSMs in order to optimise their internal dynamics on-line. Realising them in CMOS technology will make them compatible with traditional processor architectures. Imagine creating a "probabilistic co-processor or ALU" that is inherently noise and mismatch tolerant (in fact, these variations will be exploited to perform computation) and can solve complex tasks with minimal power consumption.
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.
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.