Sunday 26th April (23:59 GMT) 2020
The TEG Training Fellowship Scheme launched in 2005 and forms a key part of TEG’s investment in capacity development strategy. The Scheme enables promising research students from Sub-Saharan Africa to undertake MSc training in Medical Statistics at LSHTM followed by a year working as a statistician at one of our partner centres in Africa. The fellow continues to receive mentoring, supervision and support for the duration of their fellowship from members of our Group.
The summer project, chosen by the fellow, often provides an introduction to the research topic to be pursued further during the placement year. During the placement year, the fellow is exposed to different aspects of research including study design, data management, analysis and reporting of findings. They are guided by local statisticians and researchers as well as relevant TEG members.
The Scheme is highly competitive, with over 1000 applications in 2018. The majority of our fellows are now either working as medical statisticians at research institutions in Africa, or are engaged in PhD studies.
TEG Postgraduate Training Fellowship in Medical Statistics for African Scientists
Two fellowships are available, funded by the UK Medical Research Council (MRC) and GSK, to provide support for two years training in medical statistics. For the first year the successful applicants will study for the MSc degree in Medical Statistics at the London School of Hygiene & Tropical Medicine (LSHTM). This will be followed by a one-year professional attachment at one of the African centres associated with the research programme of the MRC Tropical Epidemiology Group (TEG) at LSHTM. During the professional attachment, training Fellows will develop their statistical and research skills by working on studies with guidance from TEG scientists.
This is intended to foster excellence in the field of medical statistics and epidemiology in sub-Saharan Africa. The fellowship will provide costs for fees, stipend (£16,400 per annum) and return air travel.
To be eligible, candidates must:
(i) be resident in and a national of a country in sub-Saharan Africa
(ii) be in possession of an excellent degree with a background in mathematics, statistics or a related subject
(iii) have at least 1 year of work experience in medical statistics or epidemiology
(iv) be able to meet the English language requirements as set out in the policy here
Support will not be given as a supplement to other funding, nor to students who have funding from other sources.
- Candidates should complete their application through the online portal.
- Please note a curriculum vitae and academic transcript must be uploaded as part of the application.
- Applications received after the closing date will not be considered. Shortlisted candidates will be interviewed by telephone and if successful, may be required to undertake an English language assessment.
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