We seek applications from excellent, enthusiastic and self-motivated students for a three-year funded PhD studentship at the Institute for People-Centred Artificial Intelligence (AI) at the University of Surrey. The funded doctoral student will research at the broad intersection of AI and Media, with particular preference given to high-quality proposals on the use of AI in journalism and mass communication. In addition to excellent knowledge of data-driven methods, multidisciplinary background in media and communication, or other relevant social science or humanities disciplines would be desirable.
Start date1 July 2022
Funding sourceSurrey Institute for People-Centred Artificial Intelligence
A stipend of £15,609 for 2021/22, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus home rate fee allowance of £4,500 (with automatic increase to UKRI rate each year). The studentship is offered for 3 years. For exceptional international candidates, there is the possibility of obtaining a scholarship to cover overseas fees.
Unprecedented access to data, data-driven methods and tools, and the emergence of Artificial Intelligence is transforming the way information is generated, processed, circulated and consumed in societies. Journalists are one of the key producers and propagators of information at mass in societies. AI provides profound opportunities for journalists and media organisations for producing better, more relevant, more reliable, and more relatable stories, keep the public informed and engaged, and provide a level of transparency and accountability. It can also help the public to access the most relevant information, and cope with information overload and misinformation. AI equips journalists and media organisations with more opportunities and more power, but with this comes more responsibility towards the public. This studentship will provide an opportunity for an exceptional candidate to study the opportunities and/or associated socio-technical challenges with respect to the use of AI in society and media, and to develop AI-driven solutions to help journalists and media organisations in their story production and communication.
We seek applications from excellent, enthusiastic and self-motivated candidates for a three-year funded PhD studentship in the area of AI and Media at the Institute for People-Centred Artificial Intelligence (AI) at the University of Surrey. In addition to excellent knowledge of data-driven methods, multidisciplinary background in media and journalism, or other relevant social science or humanities disciplines would be desirable.
For this studentship, we invite applications with backgrounds in the broad intersection of AI and Media, with a particular interest in high-quality proposals on the use of AI and data-driven methods in journalism and mass communication. Potential areas of research include, but are not limited to:
- AI and media
- AI and journalism
- Data and computational journalism
- Data storytelling
- Visual communication and information visualisation
- AI bias and algorithmic accountability.
Related linksSurrey Institute for People-Centred Artificial Intelligence
All applicants must have (or expect to obtain) a first-class degree in a relevant discipline or MSc/MA with distinction (or 70% average) and a strong interest and demonstrable knowledge in pursuing research in this field. Additional experience relevant to the area of research is advantageous.
Candidates with Masters degrees are preferred. Candidates with a multidisciplinary educational background, consisting of a mix of social sciences/journalism, communication and media/humanities/arts and information/computer/data science degrees are particularly encouraged to apply.
IELTS requirements: IELTS 6.5 or above (or equivalent) with no sub-test of less than 6.
This studentship is open to UK, EU and international students.
How to apply
Applications should be made through our Vision Speech and Signal Processing PhD programme page on the "Apply" tab. Please clearly state the studentship title and supervisor on your application.
Vision, Speech and Signal Processing PhD
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