The aim is to develop machine learning-based methods for large-scale analysis of online misinformation and its role in political debates on online social platforms.
Application deadline: as soon as possible, until the funding is filled
Interviews: interviews take place within 2-3 weeks of application
Supervisory team: Professor Kalina Bontcheva (Department of Computer Science, University of Sheffield), Professor Piers Robinson (Department of Journalism, University of Sheffield), and Dr. Nikolaos Aletras (Information School, University of Sheffield).
Award DetailsThe studentship will cover tuition fees at the EU/UK rate and provide an annual maintenance stipend at standard Research Council rates (£14,777 in 2018/19) for 3.5 years.
EligibilityThe general eligibility requirements are:
- Applicants should normally have studied in a relevant field to a very good standard at MSc level or equivalent experience.
- Applicants should also have a 2.1 in a BSc degree, or equivalent qualification, in a related discipline.
- ESRPC studentships are only available to students from the UK
or European Union. Applications cannot be accepted from
students liable to pay fees at the Overseas rate.
Normally UK students will be eligible for a full award which
pays fees and a maintenance grant if they meet the residency
criteria and EU students will be eligible for a fees-only award,
unless they have been resident in the UK for 3 years immediately
prior to taking up the award.
How to applyTo apply for the studentship, applicants need to apply directly to the University of Sheffield for entrance into the doctoral programme in Computer Science
- Complete an application for admission to the standard computer science PhD programme http://www.sheffield.ac.uk/postgraduate/research/apply
- Applications should include a research proposal; CV; academic writing sample; transcripts and two references.
- The research proposal of up to 1,000 words should outline your reasons for applying to this project and how you would approach the research including details of your skills and experience in both computing and/or data journalism.
- Supporting documents should be uploaded to your application.