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PhD Studentship

The Data Science Institute (DSI) has a PhD studentship available.

Economics and society have gone digital, vast amounts of economic and social data are suddenly available. Understanding the impact data science has in the social and economic environment, such as the sharing economy, is crucial for the new era of Big Data.

In 2014 Imperial College London, established the Data Science Institute (DSI) which enhances Imperial's excellence in data-driven research across all its faculties.  The Data Economy Lab founded at the DSI brings together, Imperial College researchers and allied institutions, to discover how future economics will work in a Big Data context.

We are very pleased to provide a PhD studentship funded by Worley Parsons in the area of ‘Social and Economic Impacts of Data Science’, which starts in October 2017. The qualified candidate will work with our members in DSI to conduct high quality research in applying data-driven method in understanding and predicting economic impact on future societies, including new paradigm of data-driven economics, privacy protection in future data economy, and the role of Big Data in the sharing economy. 

The qualified candidate will team up with other researchers at Imperial (e.g. researchers from Imperial business school) to collaborate on interdisciplinary research topics.

Applicants should have knowledge in one or more of:

  • Machine learning
  • Data analysis and modelling
  • Economics/finance (especially data economy)
  • Mathematical finance, etc.

 A willingness to work independently and as part of a team on research is essential. In addition, the candidates should have (or be expecting to obtain) a first degree (1st class or upper second class) in computing, economics/finance or a relevant subject.

Eligibility and Funding:

The position is a full time position funded by Worley Parsons and the Data Science Institute covering tuition fees, travel funds and a stipend of £17K.

The position is available to UK/EU. If you are non-UK/EU national you can still apply, but you will need to make up the additional tuition fees for an overseas applicant.

Applicants should send by email to Prof Yi-Ke Guo ( their CV, details of academic qualifications and a short statement of your motivation and experience.

Deadline for application: until post filled

Start date: 01 October 2017

If you have any queries about the application process, please contact:

Dr. Amani El-Kholy at:

Or Fay Miller at:

Research Assistant/Research Associate (Visual Analytics)

Research Assistant salary in the range: £31,740 to £33,370 per annum
Research Associate salary in the range: £36,070 to £43,350 per annum

South Kensington Campus
Full-time, fixed term contract up to 31st January 2018 with possible extension

To start as soon as possible
The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating.
We are seeking to hire a Research Assistant/Associate to work at the Data Science Institute with the founding Director Professor Yike Guo and his team. The Researcher will be an exceptional developer (e.g. javascript, C#), and will assist with the development of a novel distributed visualisation framework which will have worldwide impact and result in journal publications. This role would particularly suit applications from developers in the games industry and related fields.

We are seeking an exceptional software engineer to design and integrate software for a unique new facility, the KPMG Data Observatory. The DSI, Imperial College’s fifth cross-faculty Institute, is providing a focal point for multi-disciplinary data-driven research. The DSI houses the KPMG Data Observatory, a world class circular immersive visualisation environment featuring 132 megapixels of display surface powered by a parallel rendering system. It constitutes a decision-making space and for large scale visualisation research.

As part of this role you would support researchers and industry professionals in their interaction with the Data Observatory and guiding their development of content for the observatory. This will involve some level of public engagement and hosting of delegations.

The successful candidate must have an exceptional aptitude for analytical and critical thinking about the nature and implications of data and scientific evidence, superior programing skills, strong communication, design and aesthetic capabilities, motivation for problem solving and aptitude for interdisciplinary research and teamwork.

At Research Assistant level, you will have a good first degree (or equivalent) or Masters (or equivalent) in a related area. At Research Associate level, you must have a PhD (or equivalent) in computer science, applied mathematics, software engineering, graphic technologies and design, informatics, or a related subject or significant experience in a relevant field. You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English.

Imperial Managers lead by example.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

Closing Date         

24 April 2017 (midnight GMT)

How to Apply 
Our preferred method of application is online via our website at: (please select “job search” then enter the job title or vacancy reference number EN20170100LE into “keywords”). Please complete and upload an application form as directed. This post was previously advertised under reference number EN20170043LE.
Applications must include:
· A college application form
· A full CV
· A 1-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

Research application form

Should you have any queries regarding the application process please contact Georgina Tennant:

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