The Institute is seeking highly motivated and talented individuals to embark on a career in the rapidly emerging field of data science. In line with the Institute’s cross-disciplinary research community, we particularly welcome applications from graduates whose research spans multiple disciplines and applications.
The Alan Turing Institute is the UK’s national institute for data science founded by the universities of Cambridge, Edinburgh, Oxford, UCL, Warwick, and the Engineering and Physical Sciences Research Council (EPSRC).
Our mission is to make great leaps in data science research in order to change the world for the better. Our goals are to undertake world-class research in data science, apply its research to real world problems, drive economic impact and societal good, lead the training of a new generation of data scientists, and shape the public conversation around data.
Our doctoral studentship scheme leverages the strengths and expertise of our partners while harnessing the Turing’s unique convening power as the UK’s national institute for data science, to foster and develop exciting interdisciplinary engagement with the wider data science community and the world at large.
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 150 researchers from different disciplines’ core to data science work side-by-side to solve problems, generate ideas and transform research into real-world impact.
Mathematics, statistics, computing along with the social sciences underpin much of the Turing’s research, and because the Institute simultaneously aspires to serve society’s needs, engineering, ethics and design are also included in the research fabric.
Our Turing doctoral students are predominantly based at the Institute headquarters at the British Library in the heart of London’s vibrant Knowledge Quarter. They will register for their doctorate at one of our university partner institutions, where they will also spend time over the course of their PhD. Students will be supervised by faculty from our partner universities who are also fellows of the Institute or substantively engaged with us. Please refer to the FAQs for the full eligibility criteria.
Turing students will have access to a wide range of exceptional benefits unique to the Institute:
- Expert-led training in research disciplines central to data science
- Access to a range of events, seminars, reading groups and workshops delivered by leaders in research, government and industry
- Opportunities to collaborate on real world projects for societal impact with our current and emerging industry partners
- Expert support and guidance through all stages of the studentship delivered by supervisors who are Fellows of the Turing or substantively engaged with us
- Access to brilliant minds researching a range of subjects with opportunities to collaborate and join or start interest groups
- Networking opportunities through the Institute, university and strategic partners
- Supercharge and speed up your research with access to cutting edge IT resources; Azure cloud (with credits), Cray Supercomputer, Intel cluster, EPSRC Funded Tier 2 HPCs, High Spec HP local desktops with GPUs and UK Supercomputers Archer
- Bespoke HQ designed for optimal study and inter disciplinary collaborations
Studentships include a generous tax-free stipend of £20,500 per annum, a travel allowance and tuition fees for a period of 3.5 years.
Application deadline: 12:00 GMT Thursday 30 November 2017
The Institute will look to award studentships across a wide range of disciplines across our five university partners. Please refer to the FAQs for the full eligibility criteria.
Students awarded a Turing studentship will need to apply to register at one of our partner universities, normally the department of their primary supervisor. Students will be expected to meet the admissions, progression and training requirements of that department and university.
Studentship award criteria
Studentships will begin in October 2018 and open to home/EU and international students.
A limited number of studentships include fully funded international tuition fees or a partial contribution towards international tuition fees. Additional studentships may be available through our Strategic Partners: Lloyds’ Register Foundation, Intel, HSBC and UK Government – Defence & Security.
The Institute welcomes highly talented and motivated graduates who are significantly engaged in any of the topics core to data science, especially those whose research spans multiple disciplines and applications.
View list of research areas and strategic priorities for the Turing.
How to apply for a Turing doctoral studentship
- Overview: candidates should read the overview of the application process before making an application and make a note of key dates.
- Selecting a supervisor: candidates should review the list of approved 2018 Turing doctoral supervisors and select up to three they are interested in studying with.
- Engage with university admissions requirements: candidates should then check the following:
- departmental entry requirements of each supervisor they have selected
- university admission deadlines (in some cases, the admission deadline may fall before the outcome of the studentship award is known and it is the responsibility of the candidate to ensure they have applied to the university/department appropriately).
The Turing is not able to cover the cost of university applications.
- References: candidates are advised to contact their referee before naming them on the application form. It is the responsibility of the candidate to ensure that their referees submit references for them. Candidates will not be shortlisted for consideration by the Institute’s review panel unless at least two references are in place.
- Make a studentship application:
Apply now Application deadline: 12:00 GMT Thursday 30 November 2017
Refer to the FAQs for full details regarding the recruitment process.
Testimonials and contact
“As a researcher working on the ethics and politics of data science, I always talk about the need for more multi-disciplinary research. The Turing institute embodies that. The lectures, informal talks, seminars, masterclasses and many cups of coffee provide unique moments for researchers from different fields to come together and collectively shape the field of data science. Being a doctoral student here enriches my PhD experience tremendously.”
Corinne Cath, Turing Doctoral Student
“The researchers in our interest group come from a range of backgrounds – machine learning, natural language processing, maths, psychology, psychiatry, neuroscience, statistics, human computer interfaces. We hope to work together to kick-start one or more projects using data for mental health, leading to suitable clinical interventions which could improve diagnosis, monitoring and clinical outcomes for a number of mental health conditions.”
Maria Liakata, Faculty Fellow and convenor of an Interest Group in Data Science for Mental Health
“The Institute is a place where I am guaranteed to meet interesting researchers I wouldn’t readily encounter at my own university. It’s a real opportunity to make new connections and collaborate in an open and cross-disciplinary environment.”
Jon Crowcroft, Faculty Fellow
Queries can be directed to: Academic Programmes Team.