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SCDTP Studentship - AI Automation and the Future of Work in Industrial Firms

Southampton Business School

Location:  Highfield Campus
Salary:   £15,009
(19/20 UKRI rate)
Closing Date:  Thursday 23 January 2020
Reference:  1204519TR

AI Automation and the Future of Work in Industrial Firms

A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2020/21 Academic Year.

Supervisory Team:

Dr Tahir Nisar ( Professor Ven Tauringana

The PhD study project will aim to identify the new emerging work and work related models in those situations in which AI automation has significantly changed the nature of tasks/jobs and impacted work and worker experience. The project will also examine the extent to which these changes have helped (or hindered) business managers & workers to become more efficient and productive. Datasets employed in the research provide extensive information on individual worker’s experiences of work changes. Using data mining and machine learning models, the project will conduct empirical studies to draw substantive conclusions for both practitioners and policy makers.

Skills Required

Basic knowledge of statistics and quantitative modelling techniques


South Coast DTP Funding provides an annual maintenance grant (tax free) of £15009 (2019/20 UKRI rate), plus payment of all programme fees.  Other funding available for SCDTP funded students can be found on the SCDTP website (

Funding is provided for 3 years full-time PhD study (pro-rata for part-time students).  Applications for 1+3 funding for students completing a Master's year prior to the commencement of PhD study are also welcome (details available at

Application Procedure

The closing date and time for applications is 4.00pm on 23rd January 2020.  The full application procedure, the funding application form, and more information on the South Coast Doctoral Training Partnership can be found at:

For further information about this project, please contact the lead supervisor detailed above.  For questions relating to the application procedure, or for more information about the SCDTP, please visit the SCDTP website or contact us at

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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