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Queen Mary, University of London

Department of Computer Science, Computer Science (PhD)

Address:

Mile End Road

London,

England

  E1 4NS

United Kingdom

Phone:

+44 (0)20 7882 7335

Fax:

N/A

Program Information

Degree Offered

PhD

Format: Campus

Program Description:

PhD study

We are well-known for our pioneering research and pride ourselves on our world-class cutting-edge research projects. Joining us as a PhD student gives you the chance to experience this buzz and be part of our efforts to shape the future of electronic engineering and computer science. We have a dynamic community of approximately 150 PhD students and 80 research assistants in our labs working on leading edge research.

We offer well-integrated doctoral study programmes in our various areas of specialisation, each of our research groups is involved in internationally leading research, funded by UK Research Councils, the European Union, and industry around the world. As one of the UK’s leading Electronic Engineering and Computer Science Schools, we offer our postgraduate students a comprehensive and supportive training environment. You will work as part of a friendly and vibrant research community under the supervision of experts in the field. As a member of one of our research groups you will be accommodated in a research laboratory alongside other PhD students and full-time post-doctoral researchers. Students often participate in the funded research projects of the group. We provide a generous travel budget to enable research students to present papers at international conferences. Budgets for expenditure on experiments, equipment, and software are also available.

For more detailed information and funding opportunities for PhD students, please visit our website.

Media Arts and Technology (MAT)

The PhD in Media and Arts Technology is an innovative inter-disciplinary training programme in the science and technologies that are transforming the creative sector. Our mission is to produce post- graduates who combine world-class technical and creative skills and who have a unique vision of how digital technology transforms creative possibilities and social economies.

This is a unique four year PhD programme built around core courses in advanced research methods, interaction design and digital media processing, production and recording techniques and optional specialist modules ranging from Digital Audio Effects through Digital Rights Management to Contemporary Performance.


Interaction, Media and Communication

Interaction Media and Communication (IMC) is an internationally recognised interdisciplinary group with a current grant portfolio of over £12 million. We explore new forms of human action and interaction using a combination of ideas and methods from the arts, computer science, philosophy, and social science. Our primary research areas are: human interaction, public engagement, creativity, and performance and advanced multi-modal interaction.


Risk Information Management

The core research themes of the Risk Information Management Group are: Decision Analysis and Risk, Databases/Information Retrieval (including user- centred approaches), Learning, Uncertainty, and Bayesian methods. The Group’s research is heavily interdisciplinary and involves numerous commercial partners. There are two companies Agena and Apriore which grew directly out of research by key members of the Group. Agena delivers Bayesian Network solutions, while Apriore delivers integrated database and information retrieval technology.

Information Engineering: Information Retrieval

Our internationally renowned Information Retrieval group has strong expertise in structured document retrieval and business information domains. Members of our group have been at the leading edge of information retrieval research developing specialised search tools for applications including ecommerce, financial service portals, computer crime detection, as well as patient management in medical fields.

Computer Science Theory

Our Computer Science Theory group specialises in the logical, mathematical and statistical foundations of computer science, with a breadth and depth of expertise almost unmatched in the UK. The group’s expertise is broad in range – from complexity, through automated reasoning, concurrent and distributed systems, formal methods in human-computer interaction to verification of systems software and logic. We tackle the hard problems inherent in discovering the power and limitations of computer systems, and how principled design, based on the right mathematical models might make them more robust and secure. We collaborate with NASA, Intel, Microsoft, and other companies and government agencies on using novel mathematical modelling techniques.

Accreditation:

Accredited university

Tuition & Financial Aid

Financial Aid Offered: No