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Global Open Finance Centre of Excellence (GOFCoE) PhD in Financial Technology Scholarship

The University of Edinburgh

Qualification Type: PhD
Location: Edinburgh
Funding for: UK Students, EU Students, International Students
Funding amount: UK or Overseas tuition fees plus £20,000 stipend awarded annually for up to 4 years
Hours: Full Time
Placed On: 26th August 2021
Closes: 24th September 2021

The University of Edinburgh was ranked as 4th in the UK for research power (Times Higher Education, 2019). We aim to provide a highly dynamic and supportive research environment for our large and diverse graduate community, ensuring that Business School PhD students have the resources required to make the most of their individual projects.

This collaborative project, between the University of Edinburgh, Global Open Finance Centre of Excellence and Fair By Design ( ), offers a unique and exciting opportunity to work with a range of stakeholders and data suppliers to develop an approach to measure ‘Poverty Premium’ and address the inequalities that affect society’s most financially vulnerable individuals. Poverty Premium is the term used to describe the extra cost that households on low incomes incur when purchasing the same goods and services as households on higher incomes (‘the poor pay more’). The data-driven approach will seek to identify and utilise appropriate data to develop and validate a measure and impact of the Poverty Premium on UK households and individuals. An objective data-driven approach to understanding the scale and impact of Poverty Premium will help inform appropriate action with implications for policy and practice.

Applicants should meet the PhD in Financial Technology programme academic and English requirements.

This normally requires a minimum qualification of above-average academic achievement, quantified as 70% or above overall at the Masters level, with a distinction level dissertation.

The most commonly approved English certificate is an IELTS, for which the minimum accepted score is 7.0 overall with at least 6.0 in each section.

Essential Criteria:

  • Experience working with data and data engineering
  • Strong mathematical or statistical background, with the ability to conduct modelling
  • Programming skills, with a very good knowledge of R and Python
  • Experience of or ability to work with large, varied data sets
  • Experience of working on a Linux based virtual desktop environment, Linux/Unix, command lines, shells, core Linux utilities (grep, make, awk etc.) and git are relevant.
  • Strong team player, communicator and problem solver
  • Strong ethical and moral sensibilities
  • Willingness to work in a secure data environment with strong information governance and strict data handling and confidentiality requirements and regulations.

Project applicants must apply online using our application form. When submitting, you should include a cover letter detailing why you are a good candidate for the particular project you would like to be considered for, and any other required documents.

If your application is successful, you will then be asked to submit additional details in order to be registered as a student.

The deadline to apply is 23:59 (GMT) on Friday the 24th September 2021.

Supervisor, Prof Tina Harrison

Postgraduate Research Admissions Office

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