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Department of Computer Science


Learning of user models in human-in-the-loop machine learning

Primary supervisor

Additional information

Contact admissions office

Other projects with the same supervisor

Funding

  • Directly Funded Project (UK Students Only)

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Project description

Studentship related to Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams - Steering AI in Experimental Design and Decision-Making

The goal is to develop and test Bayesian inference techniques for learning of advanced user models from observational data. The problem setting resembles inverse reinforcement learning, but new techniques need to be developed to cope with the model evolving along time as the user learns, and the user model has several nested multi-agent levels, and bounded-rationality constraints from cognitive science. The student will work with a team of researchers, co-supervised by top-level experts on this topic on both machine learning (Prof. Samuel Kaski) and cognitive science (Prof. Andrew Howes), and be able to apply the techniques in several exciting use cases with industry and academics of other fields.

Person specification

For information

Essential

Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.

Desirable

Applicants will be required to evidence the following skills and qualifications.

  • You will have good time management.
  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.

General

Applicants will be required to address the following.

  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Why do you believe you are suitable for doing Postgraduate Research?