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PhD Studentships in Economic Measurement:  Economic Statistics Centre of Excellence (ESCoE)

PhD Studentships in Economic Measurement: Economic Statistics Centre of Excellence (ESCoE)
School of Management & Business, King’s College London

We are seeking to recruit two to three PhD students who are interested in economic statistics and measurement. The students will contribute to King’s College London’s partnership with the ONS funded Economics Statistics Centre of Excellence (ESCoE). ESCoE is a joint initiative between the National Institute of Economic and Social Research who hosts the Centre, Cambridge, King’s College London, Nesta, Strathclyde and Warwick Business School.

One or two studentships will be concerned with investigating the implications of digitalisation for measuring economic activity, involving exploring new data sources and possible business case studies/structured interviews; and/or the measurement of firms’ investments in intangible assets using linked business microdata, Project 2.2: Measurement issues in the Modern Economy (see details below). The successful candidate’s main supervisors will be Professor Mary O’Mahony and Professor Diane Coyle (University of Manchester). One studentship will be concerned with aspects of labour market measurement, in particular the prospects for using administrative and big data to develop new labour market statistics, Project 3.1: Using administrative data to develop new labour force & migration statistics and Project 3.2: Using administrative and big data to improve labour market statistics (see details below). The successful candidate’s main supervisors will be Dr Augustin DeCoulon (Business School) and Professor Jonathan Portes (Department of Political Economy).

View the project details here.

The students will also work with individuals in other ESCoE partner institutes such as Hasan Bakhshi (Nesta), Rebecca Riley (NIESR) and Jonathan Haskel (Imperial) on the modern economy and Jonathan Wadsworth (Royal Holloway), Peter Dolton (NIESR and Sussex), Richard Dorsett (NIESR) and Stefan Speckesser (NIESR) on labour market statistics. The research will contribute to and complement various ESCoE funded projects in addition to those mentioned above; details of the work programme are available here.

Candidates should have a quantitative Masters degree in Economics or related areas (normally with Distinction) from an internationally recognised academic institution; and be interested in developing their research interests in economics statistics and applied econometrics.

PhD Studentships in Economic Measurement:  Economic Statistics Centre of Excellence (ESCoE)

The studentship

The studentship is open to Home/EU and International/Overseas students for 3 years from January 2018, plus the possibility of extension to a fourth year, and includes:

1) Tuition fees at Home/EU rate (currently £4600). Please note that International/Overseas students will be required to find funding to cover the difference between Home/EU fees and international fees.

2) A stipend of circa £16,296 pa for 3 years.

How to apply

Candidates should apply to mary.omahony@kcl.ac.uk and provide the following documents:

1) A curriculum vitae

2) A covering letter explaining your interest and aptitude for these research projects, in particular:

  • Why you are attracted to this particular opportunity
  • Details of your quantitative skills
  • Details of your knowledge of economics, statistics and econometrics
  • Descriptions of previous projects you have completed
  • How the studentship fits with your career aspirations

The cover letter should state if you are applying for the Modern Economy or the Labour Markets studentship. The successful candidates will be required to apply formally to King’s College London Doctoral programme, at which time the following document will be required:

3) A 2000 word research proposal describing the research project you wish to carry out.

Applications should be submitted by 8 September 2017.

Shortlisted candidates will be contacted with further details soon after the closing date for applications.