The Alan Turing Institute PhD Programme – applications now open
About the studentship
The Alan Turing Institute offers a number of places each year to motivated graduate students to receive full funding to undertake a PhD at the University of Cambridge. The Turing doctoral studentship scheme combines the strengths and expertise of world-class universities with the Turing’s unique position as the UK’s national institute for data science and artificial intelligence, to offer an exceptional PhD programme.
Turing doctoral students spend approximately half of their time based at the Institute headquarters at the British Library in London. They will apply and register for their doctorate at the University of Cambridge, where they will spend the remainder of their time. Students will be supervised by faculty from Cambridge who are also Fellows of the Institute or substantively engaged with it.
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. To support students the Turing offers a generous tax-free stipend of £20,500 per annum, a travel allowance and conference fund, and tuition fees for a period of 3.5 years.
What are we looking for?
There is no standard Turing student. The Institute welcomes highly talented and proactive graduates who are significantly engaged in any of the topics core to data science and artificial intelligence and who are interested in engaging with the ethos of the Institute. Applications from a broad range of academic disciplines and backgrounds are encouraged, especially those whose research spans multiple disciplines and applications.
Applicants should refer to the eligibility criteria for the University (www.graduate.study.cam.ac.uk ), the Turing Doctoral programme (www.turing.ac.uk/phd-turing-details) and the Turing Studentship Application Guidance .
How to apply
Students should apply via the University of Cambridge’s application form (attached or available from the University Liaison Manager firstname.lastname@example.org ).
|The Alan Turing Institute PhD Programme application form||39.38 KB|
Candidates must also submit an application for admission to their chosen PhD programme, through the University’s online application portal. Any offer from The Alan Turing Institute will be subject to successful admission to the University, including appropriate Departmental approval.
It is recommended that any candidate who would want to be considered for alternative sources of funding, should a Turing studentship not be offered, make their on-line application ahead of the funding deadlines. These occur before this application deadline. Details can be found at www.graduate.study.cam.ac.uk/finance/funding .
The University of Cambridge will complete an initial assessment of your application and will refer selected candidates to the Institute in early February 2019. If successful, you will then be invited to attend a further interview at The Alan Turing Institute.
Please indicate on your application, and when choosing a supervisor, that you would like to be considered for the Turing doctoral studentship.
The deadline for applications is noon on Friday 4th January 2019.
More information is available from:
Professor Zoe Kourtzi, Turing University Lead: email@example.com
Ann Enticknap, University Liaison Manager: firstname.lastname@example.org
The Alan Turing Institute: www.turing.ac.uk/phd-turing-details
University of Cambridge, Graduate Admissions: www.graduate.study.cam.ac.uk/
The Cambridge Big Data Strategic Research Initiative brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. Our research spans all six Schools of the University, from the underlying fundamentals in mathematics and computer science, to applications ranging from astronomy and bioinformatics, to medicine, social science and the humanities
In parallel, our research addresses important issues around law, ethics and economics, in order to apply Big Data to solve challenging problems for society.
Cambridge Big Data supports collaboration and knowledge transfer in this growing field.