The Institute for Global Health at University College London, in the UK invites applications for a PhD Studentship in Statistics and Health Economics in 2019.

Project details:

This four-year studentship offers candidates a unique opportunity to build both the research and teaching experience required for a future academic career, in a supportive environment. The awardee may pursue their own PhD question or a question developed in partnership with the supervisory team at UCL’s Centre for Global Health Economics and the Department of Economics. 
The Centre hosts UCL’s new MSc in Health Economics and Decision Science, where students can develop specialised skills in Health Economics or Decision Science, applicable to high-income as well as low-and middle-income settings. The Centre also provides teaching resources for the MSc in Global Health and Development, and supports a number of
doctoral students and post-doctoral research fellows. The Centre also runs a summer internship programme for undergraduate and postgraduate students who are interested in the economics of global health and development.
The awardee will spend two-thirds of their time on research studies and one-third on teaching activities. The extra teaching responsibility is recognized in the longer than average funding period. Within their teaching role, the awardee will provide teaching assistance on three modules within the MSc in Health Economics and Decision Science, personal tutoring to approximately 5-10 students per academic year, and supervision to 5-10 masters projects.
The academic year has 20 teaching weeks and the awardee is expected to work an average of 9 hours per teaching week. The number of hours per week varies according to the demands imposed by individual modules and by the structure of the course.

Worth of Award

  • Salary: Student fees will be paid at Home/EU or International rate, with a stipend at £20k per annum
  • This studentship is offered for four years. PhD supervision and mentoring would be offered to the successful applicant.
  • If the successful applicant does not already hold an offer of a PhD place at UCL, the successful applicant would be supported in applying for a PhD place at UCL.


  • Highly motivated to pursue doctoral studies in Statistics at a world-leading institution
  • Educated to postgraduate (Masters) degree level in Statistics or Mathematics
  • High level of literacy and numeracy
  • Knowledge of Bayesian statistics
  • Excellent working knowledge of main statistical software, including R and Stata
  • Ability to communicate clearly, both orally and in writing, with students, academic and
    support staff at all levels
  • Excellent organizational and time management skills
  • Ability to be flexible and to respond to changing priorities in a busy environment
  • Ability to work independently for short periods and as part of a team, recognising when
    advice/input needs to be sought
  • Excellent people skills and the ability to build good relationships with colleagues and
    external partners
  • A high level of accuracy and a keen attention to detail
  • Experience working with complex datasets
  • Experience working within research groups or in field sites
  • Experience working with quantitative data from low and middle-income country
  • Previous experience of teaching or other forms of public presentation
  • Knowledge of specialized Statistical fields
  • Experience in providing pastoral care and support to students
  • Knowledge and experience of Moodle (virtual learning environment)
  • Knowledge of Bayesian software, e.g. BUGS, JAGS or Stan

How to Apply

Deadline: Applications close on August 15, 2019.

Click here for more details and to apply(PDF)

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