Postgraduate research opportunities Neuromorphic Photonic Spiking Processing Systems for Light-Enabled AI

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Key facts

  • Opens: Monday 19 December 2022
  • Deadline: Wednesday 31 May 2023
  • Number of places: 1
  • Duration: 3 years
  • Funding: Home fee, Stipend

Overview

The project is to research novel neuromorphic (brain-like) photonic computing systems for future ultrafast and energy-efficient light-enabled AI technologies. In these systems pulses of light mimic the neural spikes of the brain, but do so at much higher speed, in order to process information. The student will develop and analyse photonic spiking neurons and processors, as well as photonic spiking neural networks, based upon key-enabling optoelectronic devices (e.g. semiconductor lasers).
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Eligibility

To enter our PhD programme applicants require an upper-second or first class BSc Honours degree, or a Masters qualification of equal or higher standard, in Physics, Engineering or a related discipline. Full funding, covering fees and stipend, is available for applicants who are UK Nationals (meeting residency requirements) or have settled status (meeting residency requirements), pre-settled status or otherwise have indefinite leave to remain or enter.

THE Awards 2019: UK University of the Year Winner
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Project Details

The human brain is exceptional at performing fast and efficiently highly complex tasks. Therefore, neuromorphic (brain-like) computing approaches are attracting increasing research interest for use in Artificial Intelligence (AI). Whilst neuromorphic computing systems have been to date mainly supported by traditional digital electronic technologies, photonic approaches for brain-inspired information processing have started to receive growing attention due to their unique and superior properties. These include very high speeds, low energy requirements, reduced sensitivity to interference and high parallelism, among others.

This PhD project will design, develop and investigate novel neuromorphic (brain-like) photonic computing systems for future ultrafast and energy-efficient light-enabled AI technologies. These systems will use neural-like optical spikes (rather than traditional digital signals) to process information. In particular, this programme will develop and analyse novel photonic spiking neurons and processors as well as photonic spiking neural networks (p-SNNs), based upon key-enabling optoelectronic devices (e.g. semiconductor lasers). Additionally, this programme will also focus on the development of efficient algorithms for the training and operation of the developed spike-based neuromorphic photonic processing platforms.

This highly inter-disciplinary project merging together different disciplines (e.g. photonics, neuromorphic engineering, AI) will thus develop a first generation of functional ultrafast, energy-efficient neuromorphic photonic processing platforms for strategic applications (e.g. high-speed data classification, image/video/analog signal processing, etc.).

Institute of Photonics: The Institute of Photonics (IoP), part of the Department of Physics, is a centre of excellence in applications-oriented research at the University of Strathclyde.  The Institute’s key objective is to bridge the gap between academic research and industrial applications and development in the area of photonics. The IoP is located in the £100M Technology and Innovation Centre on Strathclyde’s Glasgow city centre campus, at the heart of Glasgow’s Innovation District, where it is co-located with the UK’s first Fraunhofer Research Centre. Researchers at the IoP are active in a broad range of photonics fields under the areas of Photonic Devices, Advanced Lasers and Neurophotonics, please see:

http://www.strath.ac.uk/science/physics/instituteofphotonics/ourresearch/.

Strathclyde Physics is a member of SUPA, the Scottish Universities Physics Alliance.

The University of Strathclyde has, in recent years, been the recipient of the following awards: The Queen’s Anniversary Prizes for Higher and Further Education (2019 & 2021); The Times and The Sunday Times Scottish University of the Year (2020), Times Higher Education University of the Year 2012 & 2019.

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Funding details

The funding covers the full stipend and tuition fees at the home rate (not the international rate). To be classed as a home student, applicants must meet the following criteria:

  • Be a UK national (meeting residency requirements), or
  • Have settled status, or
  • Have pre-settled status (meeting residency requirements), or
  • Have indefinite leave to remain or enter.
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Supervisors

Primary supervisor - Dr Antonio Hurtado

Additional supervisors - Dr Javier Porte-Parera

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Apply

Institute of Photonics (Department of Physics) - applicants should send an up-to-date CV to iop@strath.ac.uk in the first instance.

 

Number of places: 1

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Contact us

How to apply: Applicants should send an up-to-date CV to iop@strath.ac.uk