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Analysis and documentation of 3D models in digital repositories

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  • Full or part time
    Dr K Rodriguez-Echavarria
    Dr R Evans
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Applications are invited for a PhD studentship with the Cultural Informatics Research Group (www.culturalinformatics.org.uk), at the University of Brighton, starting in October 2015.

The Cultural Informatics Research Group has a 10-year history of leading large funded projects and has collaborated with research centers and cultural institutions in the UK, Europe and overseas. The group is located in the city of Brighton and Hove, which was ranked the ‘UK’s happiest place to live’ in a recent survey, with the 2nd best public transport system in the UK. The successful candidate will join an interdisciplinary group and have the opportunity to develop expertise in computer graphics and digital heritage as well as to access a wide network of collaborators.

Research outline
The research project aims to develop computer graphics methods to analyse 3D data in order to recognise and classify objects in digital repositories containing other 3D models, text descriptions, diagrams or sketches, photos or videos. This will make it possible to automatically combine 3D data with relevant documentation stored in digital repositories.

The successful candidate is expected to make a significant contribution in one or more of the following areas:

1. Developing algorithms to analyse 3D data in order to better understand what it represents.
2. Developing methods to enable the automatic or user assisted linking of 3D content to other resources (e.g. 3D data, text descriptions, diagrams or sketches, photos or videos).
3. Developing user friendly techniques to visualise and interact with 3D data stored in the digital repositories.

The content used across the research will be relevant to the area of digital humanities. Thus, the expected project outcome will enable new working practices in this area. For example, currently the description of objects is given by experts who rely on tacit knowledge as well as textual and image-based documentation to determine data such as date of origin, style and creator. In archaeology, when objects such as coins are found, experts use experience about materials, design, inscriptions and imagery as well as written documentation to determine provenance. Hence, the project proposes to advance the state of the art of computer graphics technologies in order to offer new opportunities for recognising, classifying and linking 3D data with relevant documentation. This will allow a wealth of previous research and content in the area of digital humanities to be used in investigating the provenance of newly documented objects.

The project will use partners’ collections from existing collaborations as exemplar datasets. These collections represent different domains, but share the challenges described above, allowing methods developed in one context to be tested for wider applicability.

Applications are invited from candidates with a first class or upper second class honours degree (or equivalent qualifications for international applicants) in the areas of Computer Science, Engineering and Mathematics. Applicants with degrees in Humanities and Arts must demonstrate mathematical and programming skills.

Funding Notes

Each studentship is worth at least £60,000 over three years, subject to satisfactory progress. For UK/EU students this comprises £4,620 per year to cover annual tuition fees and a contribution towards living expenses of £15,480 per year. For suitable students from outside of the UK/EU the funding will be £14,130 per year to cover annual international tuition fees and a contribution towards living expenses of £6,170 per year.

How good is research at University of Brighton in Computer Science and Informatics?

FTE Category A staff submitted: 14.00

Research output data provided by the Research Excellence Framework (REF)

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