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For all the information you need on how to apply for a research degree and to make sure you fulfil the entry requirements visit our 'How to apply' page
You should have a good honours degree (2:1 or above) or masters degree or equivalent in the relevant subject area.
International applicants should be aware of our English language requirements
The Centre for Visualisation and data analytics (CVDA) has undertaken research in visualisation, data analysis and computer graphics for over 20 years. It specialises in developing visualisation solutions to real-world problems and has been particularly active in the area of medical applications. It has extensive knowledge and experience of GPU algorithms through research. It has been involved over 30 internationally funded projects (including projects in FPs 4,5,6,7) over the last 14 years, 8 of these as Project Coordinator. CVDA is housed in a new, purpose-built lab which opened in September 2016
Comprehensive publication lists can be found on individual staff members' web pages by following the respective links above. Key publications from the CVDA Laboratory in recent years can be found at the link below.
Visual analytics and data mining is currently our main research direction. Other related research interests include web mining, computer vision, image processing and computer graphics. We are working on:
Most of the CVDA staff members are engaged in project work involving the CVDA Lab. Currently, the CVDA Lab accommodates 16 research staff (with a further vacancy yet to be filled) who are working on 5 EC projects and 1 EPSRC project, some of which will continue until 2018.
The Lab received its first UK research council funding in 1987, from SERC (the predecessor to EPSRC), and it has been in continuous receipt of external funding ever since, in general from the European Commission. In fact, overall it has been involved in 28 EC-funded projects within Frameworks 4, 5 6, 7 and H2020, in addition to 5 research council projects, and other activities funded by the Royal Society, the British Council, INTAS, PCFC, and charitable bodies.
In total, 47 successful proposals have been submitted to external funding bodies, which have generated an associated income for CVDA of over £7.5 million.
The CVDA Lab is proud to collaborate with a broad range of partners – academic institutions, including leading universities worldwide such as Oxford, UCL, Stanford, ETHZ, Zhejiang, Auckland, etc.; healthcare providers, including leading hospitals such as Moorfields, Mayo Clinic, Charité (Berlin), Niguarda (Milan), etc.; research institutions such as INRIA; supercomputer centres such as CINECA; and industrial companies, ranging from large multinational companies such as Philips, through niche-market technological companies such as Ansys, Kitware, Invatec, etc., to SMEs, both local and in Europe such as Imagemetry (Czech Republic), Astrid (Hungary). It has always had a strong international character, with past and present members coming from 16 countries; its collaborations span more than 30 countries in 4 continents.