The London Intercollegiate Doctoral Training Partnership (MRC LID) is a partnership between St George’s, University of London (SGUL) and London School of Hygiene & Tropical Medicine (LSHTM), which started in 2015. This DTP is funded by the Medical Research Council (MRC).
MRC LID brings together two outstanding specialist schools to provide integrated skills training to develop a cohort of biomedical and public health scientists with world-class expertise in areas of strategic importance to UK and global medical research.
MORE ABOUT MRC LID
MRC LID is delighted to receive a new MRC Doctoral Training Partnership (DTP) Award, which continues our highly successful DTP.
MRC LID has made widening participation and cultivating a supportive, inclusive, and diverse community of future scientific leaders core aspects of our approach to developing the DTP. More about this is available on the web pages.
Further DTP Information
How to apply?
Key studentship application information will be added to these pages over the coming months, and will be available to applicants in early to mid November 2021.
(Applicants are encouraged to follow the instructions on these web pages carefully, as the application process is not the standard Admissions one for either institution.)
Contact the DTP Admin team for further information
What is DTP1 and DTP2?
The DTP offered studentships over the academic years 2016-17 to 2021-22. MRC funded 7.5 notional studentship awards per year (3.5 years duration each). LSHTM & SGUL funded an additional 3 notional studentship awards per year (3.5 years duration each). DTP1 themes were: Global Infectious Disease; Quantitative Skills for Large Data Sets; and Evaluation of Complex Interventions.
The DTP is offering studentships over the academic years 2022-23 to 2024-25. MRC has committed to funding 6 notional studentship awards per year (4 years duration each). LSHTM & SGUL has committed to fund an additional 3 notional studentship awards per year (4 years duration each).DTP 2 themes are: Global Health; Health Data Science; Translational and Implementation Research; and Infectious Disease.