EPSRC PhD studentship: Artificial intelligence and the future of work, of organisations, and labour markets
For autumn 2018, Imperial Business Analytics are seeking applications for a funded doctoral studentship aligned with the study of AI’s effect on organisations, labour markets and work.
As advances in machine learning are increasingly productively applied to tasks previously done by humans, the scale-up of innovations that permit automation will have profound effects on not only organisations and labour markets, but on economy and society more broadly. Although these changes have attracted considerable interest from academics and public intellectuals, the methods of data science have not yet been applied to understanding how data science will change the world of work. In particular, we are interested in the impact AI is likely to have on so-called knowledge work because the investment requires to scale automation of these tasks is not limited by investment in physical assets. Currently, our group is pursuing the use of data on organisations and work to develop rigorous models that link features of work to features of algorithms and likely developments in data science to forecast the scale and impact of AI. Specifically, we are producing models that link features of work to features of methods in artificial intelligence to guide (a) the development of methods applicable to automating key tasks and (b) forecasting the pace and scope of these technologies on organisations.
Within this broad topic, we are seeking students with an interest in AI, organisations, and the future of work, organisations, labour markets, and economy and society more broadly. Although you will be expected to develop your own original research for the PhD thesis, we are seeking students who can contribute to the modelling agenda described broadly above, which features both methods for automating work and forecasting the impact of automation.
Because data science requires data, the DSI and Imperial Business Analytics Lab have developed strategic connections with industry partners who have data, and these links will be particularly helpful for this studentship. Drawing on the rich and evolving ecosystem of ties between academics and industry, the successful student will benefit from input and data from a wide range of industries and the successful candidate is expected to work closely with external companies.
Our Doctoral programme is a full-time, five-year programme. In the first year, you will complete a Master’s in Research (MRes) programme with highly relevant and structured training. During that year you will take compulsory modules in research methodology and subject-specific theory, which will provide you with a theoretical grounding and thorough research training for a solid foundation for your academic career. You will also undertake an individual research project with Imperial Business Analytics, meant as a stepping stone for your PhD research project.
For the remaining four years you will design and conduct your PhD research project in collaboration with Dr Mark Kennedy, Director of Imperial Business Analytics, as part of the wider research programme.
The Doctoral programme at Imperial College Business School is fully funded and this studentship would be co-funded by EPSRC which includes full tuition fees at the Home/EU rate plus a living stipend for up to five years.
Applicants must meet Research Council UK eligibility requirements. This means that applicants should have no restrictions on how long they can stay in the UK, and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. For UK and EU applicants, residency is permissible if they have been in the UK for the purposes of full-time education; non-EU applicants would need to demonstrate that the purpose of their residency was not wholly or mainly for the purpose of full-time education.
For more information on the doctoral programme, the entry requirements, and details on how to apply, please visit: https://www.imperial.ac.uk/business-school/programmes/doctoral-degree/
If you are interested in the project specified below, please indicate this in your application. For more information on the opportunity, please contact firstname.lastname@example.org.
Application closing date: 8 January 2018 (midnight GMT)