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PhD Studentship - AI hardware accelerators

Agents, Interactions & Complexity

Location:  Highfield Campus
Closing Date:  Friday 03 July 2020
Reference:  1263220FP

Supervisor:                 Themis Prodromakis, Geoff Merret and Alexander Serb

Project description

The aim of this PhD studentship is to develop ultra-low power AI hardware accelerators that can be used for delivering advanced computing capabilities at the edge. Opportunities exist for working collaboratively with world-leading industry for benchmarking such systems in practical applications. The project covers a wide spectrum of experimental research, including mixed-signal IC and/or embedded design, machine learning and neuromorphic engineering. These novel AI hardware accelerators can be used in a variety of applications ranging from IoT, robotics, autonomous vehicles, biomedical devices and data centres. The PhD student will have the opportunity to join a multi-disciplinary team and to be trained and work in the world-class facilities of the Zepler Institute for Photonics and Nanoelectronics. 


  • Prof Themis Prodromakis – expert in AI Hardware.

  • Prof Geoff Merret – expert in low-power design.

  • Dr Alexander Serb – expert in Nanoelectronics.

    This project is funded through the UKRI MINDS Centre for Doctoral Training ( This is one of 16 PhD training centres in the UK with a unique focus on advancing AI techniques in the context of real-world engineered systems with a remit that spans novel hardware for AI, AI and machine learning, pervasive systems and IoT, and human-AI collaboration. We provide enhanced cross-disciplinary training in electronics and AI, entrepreneurship, responsible research and innovation, communication strategies, outreach and impact development as part of an integrated 4-year iPhD programme. 

    The MINDS CDT is based in a dedicated laboratory on Highfield Campus at the University of Southampton. The lab provides a supportive environment for individual research, ideas sharing and collaboration, and the wider campus provides access to substantial high-performance computing (including dedicated GPU servers), maker and cleanroom facilities. You will take part in our annual, student-designed innovation camps, be able to work with industry and government partners through our internship scheme and be able to take part in exchanges with international university partners.

Funding: full tuition for EU/UK Students plus, for UK and EU students resident in the UK for previous 3 years, an enhanced stipend of £18,285, tax-free per annum for 4 years. years. 

Entry Requirements

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

Closing date: no later than 5 June 2020 for entry in October 2020. 

How To Apply

Applications should be made online, select the academic session 2020-21 “PhD MINDS” as the programme. Enter AI hardware accelerators under the Topic or Field of Research.

Applications should include

Research Proposal

Curriculum Vitae

Two reference letters

Degree Transcripts to date

Apply online:

For further information please contact: 

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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