The Alan Turing Institute Internship Programme 2018 

London (GB)
10 Jan 2018
End of advertisement period
31 Jan 2018
Contract Type
Fixed Term
Full Time

The Alan Turing Institute Internship Programme 2018 

We invite talented PhD students to apply for a place on The Alan Turing Institute Internship Programme 2018.

The Turing is running a 12-week Internship Programme for students to work on one of the projects detailed below during summer 2018, between 25 June and 14 September. Interns will be based at the Turing headquarters in the British Library, London.

The Turing has cross-disciplinarity at its core; we bring researchers in mathematics and theoretical computer science, statistics and machine learning, algorithms for data analytics and distributed computing, computational social science and data ethics, and industry partners, to work together in an open and collaborative environment under a shared goal to generate world-class research in data science.

While in residence, interns will contribute to defined research projects, share knowledge and be a part of a data science community with research excellence at its core. Interns will have regular interaction with their project supervisor during their 12 week stay and encouraged to take part in a range of Turing activities, including lectures, seminars and workshops.
The Alan Turing Institute Internships are full-time, paid positions.

Salary: £30,000 pro rata


Project 1 – An ​interdisciplinary​ ​approach​ ​to​ ​programming​ ​by​ ​example

Project 2 – Algorithms for automatic detection of new word meanings from social media to understand language and social dynamics

Project 3 – High performance, large-scale regression

Project 4 – Design analysis and applications of efficient algorithms for graph based modelling

Project 5 – Privacy-aware neural network classification & training

Project 6 – Clustering signed networks and time series data

Project 7 – Uncovering hidden cooperation in democratic institutions

Project 8 – Deep learning ​for​ ​object​ ​tracking​ ​over​ ​occlusion

Project 9 – Listening to the crowd: Data science to understand the British Museum visitors 

Click here for full project details.


The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly.  In accordance with the Equality Act, we welcome applications from those who meet the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital status, pregnancy, religion or belief or sexual orientation. Reasonable adjustments to the interview process can be made for candidates with a disability.

Please note all offers of employment are subject to continuous eligibility to work in the UK.


  • Applicants must currently be studying for a PhD at a university within the UK.
  • Applicants must be eligible to work in the UK and be available for the duration of the internship project.

Application procedure 

You will be asked to complete the application form online and provide (in pdf format);

  • Your Curriculum Vitae including publications and previous degrees.
  • Two letters of reference, one of which should be from your current supervisor.

References must be received by the closing date in order to submit your application. You will be asked to provide contact details for two references. They must login and submit a pdf letter of recommendation before the closing date. It is therefore advised you request this from your references as soon as possible as incomplete applications will not be accepted.


Note: This is 12 noon in the UK

Please refer to the FAQs’

We anticipate notifying successful applicants by end of March 2018.
Please note all offers of employment are subject to continuous eligibility to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.

Full details of the pre-employment screening process required can be requested from

Informal enquiries about the application process can be directed to:

Current Turing students and researchers interested in engaging with the internship programme should get in touch with the academic programmes team: