Looking to list your PhD opportunities? Log in here.
About the Project
This project will examine how pre-existing media metadata such as subtitle tracks can be repurposed in order to create non-linear narrative forms of storytelling. Over 95% of UK televised content is subtitled and the main usage of this is to improve the accessibility of the content being delivered. Broadcasters are responsible for making sure that subtitles associated with shows are accurate and available within traditional and IP based broadcasts. Little work has been carried out to examine how these, in essence, “scripts” can be used for additional purposes such as creating new forms of narrative.
This project has the following aims:
1) To understand the concepts around subtitle production and how this relates to the forming of story narratives
2) To investigate how narratives can be created from pre-existing stories and presented using alternative mediums.
This project will use a combination of several qualitative data gathering techniques combined with user centred software development in order to examine how new media experiences can be created. It is expected that this research project will involve collaborating with media creators in order to understand more about the story telling process and will also involve working with end-users on the creation of media delivery artefacts.
For informal enquiries about the project, contact Dr Michael Crabb (M.Z.Crabb@dundee.ac.uk)
For general enquiries about the University of Dundee, contact doctoralacademy@dundee.ac.uk
Our research community thrives on the diversity of students and staff which helps to make the University of Dundee a UK university of choice for postgraduate research. We welcome applications from all talented individuals and are committed to widening access to those who have the ability and potential to benefit from higher education.
QUALIFICATIONS
Applicants must have obtained, or expect to obtain, a first or 2.1 UK honours degree, or equivalent for degrees obtained outside the UK in a relevant discipline.
English language requirement: IELTS (Academic) score must be at least 6.5 (with not less than 5.5 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s English language requirements are available online: http://www.dundee.ac.uk/guides/english-language-requirements.
APPLICATION PROCESS
Step 1: Email Dr Michael Crabb (M.Z.Crabb@dundee.ac.uk) to (1) send a copy of your CV and (2) discuss your potential application and any practicalities (e.g. suitable start date).
Step 2: After discussion with Dr Crabb, formal applications can be made via our direct application system. When applying, please follow the instructions below:
Apply for the Doctor of Philosophy (PhD) degree in Computing: Computing research degrees | University of Dundee.
Please select the study mode (full-time/part-time) and start date agreed with the lead supervisor.
In the Research Proposal section, please:
- Enter the lead supervisor’s name in the ‘proposed supervisor’ box
- Enter the project title listed at the top of this page in the ‘proposed project title’ box
In the ‘personal statement’ section, please outline your suitability for the project selected.
Funding Notes
Email Now
Why not add a message here
The information you submit to University of Dundee will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Dundee, United Kingdom
Check out our other PhDs in United Kingdom
Start a New search with our database of over 4,000 PhDs

PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Predictive control of non-linear and/or robust systems
University of Sheffield
Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components
University of York
Computational efficiency and simplicity in predictive control for linear and non-linear systems
University of Sheffield