PhD studentship: Artificial intelligence and the future of work, of organisations, and labour markets (1+4 years funding)
Imperial College Business School and Data Science Institute, South Kensington Campus
At Imperial College London, the Data Science Institute (DSI) is a multi-disciplinary initiative aimed at pushing frontiers in theory and method for research that requires novel data and new algorithms to solve important, difficult problems. From the Business School, Imperial Business Analytics is a lab and research centre that has formed to focus on data science for business. 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.