Application Deadline: April 26th 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
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.
How to apply for the Fellowship:
Candidates should complete their application through the online portal.
Applications for the 2020 TEG Fellowship open on Monday 2nd March. The application round will close on Sunday 26th April (23:59 GMT)
For More Information:
Visit the Official Webpage of the 2020 TEG Postgraduate Training Fellowship in Medical Statistics
