Using ‘stylised’ big data, this study will develop pioneering evidence about entrepreneurship in the Manchester City Region and significantly inform the development of economic policy in the region as it takes up new, devolved powers of governance.
This project will adopt a big data approach to model various aspects of entrepreneurship in the Manchester City Region. Specific objectives include:
Dr Julia Rouse has existing experience of supporting such analysis under an ESRC-funded project that employed two different forms of time series analysis that may be applied. The supervisory team will also draw in experts in Big Data and, in particular, longitudinal modelling.
The successful applicant will join a strong research group working in the area of entrepreneurship, including both academics and PhD students which offers supervisory and peer support. The PhD will be supervised by Dr Julia Rouse who has a wealth of research experience and is widely published in entrepreneurship.
The successful applicant will have either a Masters’ degree or a BA/BSc (Hons) 2.1 in a relevant discipline. Some familiarity with the entrepreneurship field is also desirable. Strong quantitative analysis skills are essential and experience of both SPSS and STATA would be an advantage, as would having worked with large datasets. The ability to demonstrate strong verbal and written communication skills is essential, as is the ability to work independently and evidence well-developed problem solving skills.
Fully funded PhD studentships at MMU are only available to home and EU students.
For information on how to apply and more about our graduate teaching assistanships, please visit https://www2.mmu.ac.uk/research/studentships/business-and-management.
For informal enquiries, pkease contact Dr Julia Rouse at email@example.com.