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Energy-Efficient Machine Learning for Mobile/Embedded Systems

  • Full or part time
  • Application Deadline
    Monday, August 31, 2020
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Supervisor: Professor Geoff Merrett
Co-supervisor Dr Jon Hare

Project description

Applications are invited for PhD research, to be undertaken at the University of Southampton (School of Electronics and Computer Science). The successful candidate will join a newly established International Centre for Spatial Computational Learning http://spatialml.net. This is an exciting cutting-edge project involving close collaboration between the University of Southampton (UK), Imperial College London (UK), the University of California Los Angeles (USA), and the University of Toronto (Canada), as well as companies including Arm, Corerain Technologies, Imagination Technologies, Maxeler Technologies, and Xilinx. The successful candidate will be based in Southampton, but will have the opportunity to travel frequently to America to attend research meetings and for a placement period at either UCLA or Toronto.

The PhD will undertake research in one or more of the following areas, related to hardware/software co-design for energy-efficient machine learning on mobile/embedded devices:

• Hardware design for machine learning/deep learning
• Software/algorithm development for machine learning/deep learning
• Hardware/software co-design for improved performance/efficiency
• Efficient software development for mobile/embedded systems
• Run-time software adaptation for system resource management

The successful candidate will be based in the School of Electronics and Computer Science (ECS) at the University of Southampton. ECS hosts a strategic research centre in machine intelligence, an EPSRC Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems, and the Arm-ECS Research Centre: an award-winning industry-academia collaboration between the university and Arm Research.

If you wish to discuss any details of the project informally, please contact Professor Geoff Merrett, , including a copy of your CV.

If you wish to discuss any details of the project informally, please contact Professor Geoff Merrett, Cyber Physical Systems Research Group, Email: , Tel: +44 (0) 2380 592775.

Entry Requirements
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: full tuition fees for EU/UK students plus for UK students, an enhanced stipend of £15,285 tax-free per annum for up to 3.5 years. Applicants must be UK residents with no restrictions on how long they can stay in the UK and have lived here for at least 3 years prior to the start of the studentship. This residence cannot be mainly for the purpose of receiving full-time education.

How To Apply

Applications should be made online, please select the academic session 2020-21 “PhD Computer Science (Full time)” as the programme. Please enter Geoff Merrett under the proposed supervisor.

Applications should include:
Research Proposal
Curriculum Vitae
Two reference letters
Degree Transcripts to date
Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

For further information please contact:

How good is research at University of Southampton in Electrical and Electronic Engineering, Metallurgy and Materials?

FTE Category A staff submitted: 84.25

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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