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Artificial Intelligence for Future Society: Smart Cities

  • Full or part time
  • Application Deadline
    Saturday, August 31, 2019
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Supervisor: Prof Dame Wendy Hall

Co-supervisor Prof Pauline Leonard

Project description

The Web Science Institute at the University of Southampton is offering a 4-year funded PhD position in Artificial Intelligence for Future Society in collaboration with Fawley Waterside Ltd.

Project Description
The aim of the project is to investigate how to make a liveable, “smart city” development that addresses the challenges of new technologies and emerging social and economic trends. The project will build on recent University of Southampton research including: Trusted Data infrastructures in the AI Economy; Smart cities; Economy Society and Governance; the Work Futures Research Centre; the Centre for Population Change; and the Liveable Cities project.

You will be supervised by an interdisciplinary academic team and will be part of a broader cohort of students investigating the challenges of a future AI society. Your research will be supported by relevant training, and may include MSc modules according to your individual needs, such as Foundations of AI; Deep Learning; Machine Learning; Foundations of Data Science; Data Visualisation; and Computational Statistics. You may also have the opportunity to include an internship as part of your studies.

About the WSI

The Web Science Institute (WSI) is a research institute within the University of Southampton which focuses on globally-recognised cross-disciplinary research, training and innovation in the digital economy, cultures and social practices built on Web, Data Science and AI technologies. The WSI is a founder member of the Web Science Trust Network of Laboratories, an international network of 20 research laboratories. The Centre for Doctoral Training in Web Science Innovation is also hosted by the WSI. There are close links with the University’s Centre for Machine Intelligence (CMI). Students will also benefit from opportunities offered by the University’s partnership with the Alan Turing Institute.

About Fawley Waterside Ltd

Fawley Waterside Ltd (FWL) is a development consortium looking to build an “Intelligent Merchant Community”, the first town-scale ‘smart city’ in either America or Europe, on a site near Southampton, UK. Partnering with tech companies IBM, Vodafone, Siemens and CISCO, their ambition is to create not just a city with “intelligent technical infrastructure” but to design an intelligent social ecosystem that takes into account emerging shifts in social and cultural life.

Key Facts

Entry Requirements:

Candidates should have, or expect to gain, a first or upper second-class degree in a relevant subject (Computer Science, Software Engineering) and have experience of social science research, Advanced AI experience is not needed.

Start date: September 2019

Funding: full tuition plus, for UK students, an enhanced stipend of £15,009 tax-free per annum for up to 3.5 years.

Duration: Four years (full-time)

How to apply:

Guidance about PhD applications to the School of Electronics and Computer Science can be found here: https://www.ecs.soton.ac.uk/phd/how-to-apply.

Applications should include:

Reserch Proposal

Curriculum Vitae

Two reference letters

Degree Transcripts to date

Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

Your application should include a research proposal outlining your interests in relation to the AI for Future Society research themes which you can find here: https://www.southampton.ac.uk/wsi/aifs/index.page

If you wish to discuss any details of the project informally, please contact Dr Mark Weal () or Alison Tebbutt ( at the Web Science Institute.

How good is research at University of Southampton in Computer Science and Informatics?

FTE Category A staff submitted: 44.20

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

Click here to see the results for all UK universities

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