The Alan Turing Institute and Queen Mary University of London are awarding PhD Studentships linked to Data Science or Artificial Intelligence. This is a fully funded studentship available for applicants of all nationalities.
Queen Mary University of London is one of the UK’s leading research universities, committed to improving social justice and achieving the previously unthinkable. A Russell Group university based in east London, we teach across the full disciplinary spectrum. With staff and students from over 160 nationalities, we are one of the most diverse higher education institutions in the world.
Students whose first language is not English must demonstrate proficiency in English by submitting satisfactory scores from the Test of English as a Foreign Language (TOEFL).
A tax-free stipend of £20,500 per annum, a travel allowance and conference fund, and tuition fees for a period of 3.5 years.
Studentships are available for students of all nationalities.
Entrance Requirements: Applicants must meet the following criteria:
The Turing PhD programme offers all the benefits of completing a PhD at a world-class university, as well as a unique opportunity to study in a collaborative research space. Studying at The Alan Turing Institute offers students a unique opportunity to undertake a data science focused PhD in a multidisciplinary environment where more than 400 researchers from different disciplines work side-by-side. Studentships at the Turing support graduates to enrich their research through interdisciplinary engagement with the wider data science and artificial intelligence communities and the world at large.
How to Apply:
Students should apply through Queen Mary. All applications should be made directly to the candidate’s chosen department and programme. In their application, and when choosing a supervisor, they should make it clear that they would like to be considered for the Turing doctoral studentship. PhD application pages can be selected from the drop-down menu here https://www.qmul.ac.uk/postgraduate/research/applying-for-a-phd/
January 14, 2019