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Artificial Intelligence Applications to Combat Misinformation and Fake News in Security Contexts


Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research (CENTRIC)

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Prof B Akhgar , Prof P.S Bayerl , Dr H Gibson No more applications being accepted Funded PhD Project (Students Worldwide)

About the Project

CENTRIC (Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research) is a multidisciplinary, security focused research centre with the objective to develop solutions to today’s most pressing security challenges. By collaborating with academic, law enforcement, government and industry partners we provide security innovations while giving due consideration to citizen perspectives, the interests and engagement of end-users as well as key societal and relevant ethical issues. CENTRIC offers the following PhD opportunity linked to existing international projects:

Development of Artificial Intelligence Applications to combat misinformation and fake news in security contexts

This PhD focuses on exploring and developing AI techniques to improve detection, analysis and removal of misinformation.

For the studentships, the PhD students will be registered for a PhD, alongside which they will contribute to up to 180 hours of support for research or teaching related activity per academic year – in projects in their respective specialist area within CENTRIC. This activity forms part of the scholarship award and there is no additional payment for it. Opportunities for development will include research based in the existing CENTRIC research portfolio projects as well as upcoming research work as part of international, collaborative networks of academic, law enforcement, non-governmental organisations and industry. Some travel may be expected for both the PhD. research and any associated project work.

Eligibility

Applicants should hold a 1st or 2.1 honours degree in a relevant discipline to the PhD area they apply to. We expect candidates to have a strong theoretical Computer Science/Computer Engineering background and good programming skills, and image processing understanding. It would be desirable that candidates already have some experience in working on data analytics, especially image files. Currently enrolled students are not eligible to apply.

How to apply

To apply for the PhD studentship, please submit: a 2-page draft research proposal around your chosen area of interest, the names of two academic references, copies of qualifications, certificates and/or results transcripts, and proof of English language ability, where English is not your first language, copies of your passport and any relevant visas, for international applicants.

Please visit the University’s webpage https://www.shu.ac.uk/study-here/how-to-apply/postgraduate/application-form for the application form. Please submit the completed form and the above documents to [Email Address Removed] and cc in Professor Petra Saskia Bayerl ([Email Address Removed]).

Start date for the studentship: 01 October 2021

Interviews are scheduled for: TBC June 2021

For information on how to apply please visit https://www.shu.ac.uk/research/degrees

Your application should be emailed to [Email Address Removed] and [Email Address Removed] by the closing date of 14/05/2021


Funding Notes

The PhD studentship provides tuition fees at UK/EU levels and a maintenance bursary at the UK Research Councils' national minimum doctoral stipend rate (£15,285 for 2020/21). The scholarship is available for three years of full-time study.
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