About the Project
We have a PhD studentship available in the Department of Computer Science (CS) at the University of York, starting October 2021, to work on aspects of platforms and architectures for Reservoir Computing.
Classical digital computing is power hungry, fragile, and hard to interface to the real world. Reservoir computing (RC), can help overcome these issues, particularly by being able to perform embodied computation that can directly exploit the natural dynamics of the substrate, thereby dramatically reducing power requirements and providing a natural fit to certain computational tasks. Introduced more than a decade ago, RC has proven to be an efficient approach for signal processing and dynamical pattern recognition, and state-of-the-art performance has been demonstrated in both simulation and physical implementation.
This PhD research project will help take RC to the next level: designing, building, applying and analysing complete, efficient and feasible RC architectures: a networked “reservoir of reservoirs” (RoR) platform.
You will develop a flexible architecture and underlying theory to support efficient, flexible and feasible multi-reservoir computers. You will demonstrate your approach on a range of applications, starting from a smart microphone implementing noise cancelling, sound source isolation and speaker identification, and building up to universal “edge processor” that can process data from diverse sensors (different timescales and modalities), trainable for different tasks and contexts.
This project will be run in the context of the EPSRC-funded MARCH (Magnetic Architectures for Reservoir Computing Hardware) project, involving the Universities of York and Sheffield, and will complement the research being performed there.
A further related PhD studentship is available in the Department of Electronic Engineering at the University of York: https://www.findaphd.com/phds/project/reservoir-computing-with-neuromorphic-hardware/?p106527
For more information on the studentship, please contact Professor Susan Stepney susan.stepney@york.ac.uk
Entry requirements:
Candidates must 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 or a related subject.
How to apply:
Applicants must 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. To apply, please select the PhD in Computer Science for October 2021 entry. Please specify in your PhD application that you would like to be considered for this studentship.
Funding Notes
This funded studentship will cover the tuition fee at the home/EU rate (£4,407 in 2020/21) and a stipend at the standard research council rate for a period of up to 3 years (£15,285 in 2020/21).
UK students are eligible to apply.
UK students are eligible to apply.
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