PhD in Data Science: Social and Economic Impacts of Data Science

WorleyParsons are providing funding for a PhD studentship at Imperial College Data Science Institute in the area of ‘social and economic impacts of Data Science’

• To start Oct 2017
• Studentship: Untaxed stipend of £17K per annum and home/EU fees (at the UK/EU student rate only) provided by WorleyParsons and the Data Science Institute.

Imperial College London, Department of Computing
Professor Yike Guo [Email Address Removed]

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 WorleyParsons in the area of ‘Social and Economic Impacts of Data Science’, which starts in October 2017. WorleyParsons is an Australian engineering company that delivers projects and provides expertise in engineering, procurement and construction. Through their independent consulting business Advisian, their Digital Enterprise team uses all forms of data to drive digital transformation in industry. 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.
How to Apply
Applicants should send by email to Prof Yi-Ke Guo ([Email Address Removed]) 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: [Email Address Removed]
Or Fay Miller at: [Email Address Removed]