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Department of Computer Science

Research projects

Find a postgraduate research project in your area of interest by exploring the research projects that we offer in the Department of Computer Science.

We have a broad range of research projects for which we are seeking doctoral students. Browse the list of projects on this page or follow the links below to find information on doctoral training opportunities, or applying for a postgraduate research programme.

Alternatively, if you would like to propose your own project then please include a research project proposal and the name of a possible supervisor with your application.

Available projects

Semantic Reading

Primary supervisor

Additional supervisors

  • Andre Freitas

Additional information

Contact admissions office

Other projects with the same supervisor


  • Competition Funded Project (Students Worldwide)

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

In the last decade, Natural Language Processing has seen impressive improvements in tasks such as question answering and text summarization. These tasks require some "understanding" of the meaning of text which, in turn, involves identifying and interpreting semantic relationships between pieces of text. The latter is based on knowledge bases and linguistic resources such as WordNet that provide very broad coverage for a large number of terms, but with only a limited number of relations.

In this project, we will develop an approach for these tasks that is based on a tighter integration of the NLP tools, in particular its Neural Network-based machine learning models, with rich OWL ontologies. Suitable OWL ontologies exist for a range of application domains and often cover a wide range of terms and relationships between these. The aim of this integration is to investigate in how far this integration can improve the performance of these tasks, in particular make the approach "background-knowledge-able" and thus explainable. The project will focus on adapting and extending existing KB-driven neuro-symbolic architectures such as TensorLog, Distributional Navigational Models, Logical Tensor Networks, Deep Reinforcement Learning to benefit from the accuracy provided by reasoning over high-quality ontologies.

Person specification

For information


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.


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

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


Applicants will be required to address the following.

  • 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?
  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Why do you believe you are suitable for doing Postgraduate Research?