PhD Fellowship, Human-Centered AI, Teaching Machines to Think Like Humans, Work with UNIVERSITY OF SOUTHAMPTON

Web and Internet Sciences

Location: Campus Highfield

Closing Date: Thursday, June 30, 2022

Reference: 1836822FP

Supervisory team: Professor Jie Tang, Professor Dame Wendy Hall

Project description

Human-centered artificial intelligence (HCAI) is a strategic research topic for Southampton’s School of Electronics and Computer Science (ECS) and its Web and Internet Science (WAIS) research group. AI is creating new types of interaction between the computer and human components of hyperscale information systems. AI is not a single computational technique, but a range of technical interventions that raise complex questions about markets, social needs, and ethical acceptability. As artificial intelligence technologies become more involved in human life, it is increasingly evident that we need to study the development and deployment of artificially intelligent data processes as deeply socially connected activities.

Professor Jie Tang is a member of the WAIS group which has worked on the world’s largest natural language pre-training model, called Wu Dao, aimed at understanding and generating consistent text and images based on content and images . His ambition is to explore the concept of the metahuman – a personification of the Wu Dao model, able to learn from all kinds of data to improve his cognition over time and thus be able to compose music, reason, react to emotions , answer questions and even write computer code.

Professor Dame Wendy Hall is the Regius Professor of Computing in the WAIS group. She is the UK Government’s first AI Skills Champion and a member of the new AI Council. His research focuses on sharing trusted data with AI systems to achieve socially desirable outcomes.

We invite applications from postgraduate students to join this research team where you will be supervised by a world-renowned international academic team consisting of Professors Tang and Hall. You will be part of a larger cohort of students investigating the challenges of a future AI society within the University’s interdisciplinary Web Science Institute (WSI). Your research will be supported by training relevant to your individual needs offered by your research group (WAIS), and you will also benefit from the opportunities offered by WSI and its partnership with the Alan Turing Institute in the UK.

Project start date: September/October 2022

If you would like to discuss project details informally, please contact Dr Mark Weal ([email protected]) or Alison Tebbutt ([email protected]).

Entry requirements

A good undergraduate degree (at least a UK 2:1 honors degree, or its international equivalent) in an IT field together with evidence of multi-disciplinary research.

Candidates will need to demonstrate their skills in the following areas:

  • machine learning algorithms and natural language processing
  • coding (python and others)
  • interdisciplinary or socio-technical study
  • writing and communication
  • data processing and analysis

Closing Date: June 30, 2022. Subsequent applications may be considered until the position is filled.

Funding: For UK students, tuition and a stipend of £16,062 per year at current Research Council rates for up to 3.5 years.

How to register

Apply online:

Select program type (Research), 2022/23, Faculty of Physical Sciences and Engineering. Next page “PhD in computer science (full-time)”. In section 2 of the application form, you must insert the name of the supervisor, Professor Jie Tang.

Applications must include:

Research proposal – see our Guidelines for preparing a research proposal

  • Curriculum vitae
  • Two letters of recommendation
  • Transcripts to date

For more information, please contact: [email protected]

James G. Williams