Qualification Type: | PhD |
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Location: | London |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £19,668 per annum stipend |
Hours: | Full Time |
Placed On: | 5th December 2022 |
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Closes: | 3rd January 2023 |
Funding: Various funding sources
Duration: 3 or 4 years Full Time
Application deadlines: 3 January 2023
Entry: October 2023 start.
Applications are invited for fully funded PhD studentships at the Economic Statistics Centre of Excellence (ESCoE). The students will be supervised by ESCoE Research Associates from King’s Business School, other ESCoE partner institutes and the Office for National Statistics (ONS). Supervisors could include Professors David Aikman, Rhys Bidder, Augustin de Coulon, George Kapetanios, Mary O’Mahony, Rebecca Riley and Martin Weale.
Project Description
Studentships are open to candidates who wish to pursue a PhD in the area of economic measurement. We are open to project proposals on any of the topics below particularly using new methods (such as machine learning) and new sources of data (e.g. web-scraped information or time-use data).
Specific projects of interest are ‘Developing understanding of the labour market using Time Use Surveys’, ‘Beyond GDP: Towards an index of local and national sustainable well-being’ and ‘Measuring the green economy’.
Candidates should have a strong quantitative background, with an undergraduate or graduate degree in Economics, Statistics, Mathematics, Applied Mathematics or similar. Knowledge of statistical software (e.g. SAS, Stata) or computer programming languages (e.g. Python, C/C++, Matlab and R) would be advantageous.
About ESCoE
ESCoE is an independent research centre established in 2017 and funded primarily by the ONS. We are the first-ever dedicated academic centre of expertise for the analysis of emerging and future issues in measuring the modern economy. The Centre will be hosted at King’s Business School, King’s College London from April 2023.
The candidate will join the PhD programme at KBS, which provides strong computational and research training, in preparation for a career in academia or in the field of economics, economic measurement, data-analytics and statistics. The programme includes PhD courses and the writing of a PhD thesis.
Eligibility
Academic requirements:
The studentship covers:
How to Apply
Your application should consist of:
These should be e-mailed to kbs-phd@kcl.ac.uk by the 3rd January 23:59 GMT (please put ESCoEPHD2023 in the subject title.). Please provide this e-mail address to the letter writers, so they can send the reference letters directly to us.
Formal appointment will be subject to checks on references, certificates/qualifications/etc., and English test scores (if relevant).
Type / Role:
Subject Area(s):
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