Research Fellow or Assistant Professor in Mathematical Modelling of RSV vaccination
Applications are invited for an experienced infectious disease modeller to the London School of Hygiene & Tropical Medicine (LSHTM).
We aim to assess optimal vaccination strategies against RSV, which causes a dramatic burden of childhood disease globally with multiple vaccines candidates and advanced clinical trials. While the epidemiological and cost effectiveness streams of the grant will be led by the Robert Koch Institute (RKI - the national public health institute of Germany) the successful candidate will lead the mathematical modelling component. The project will see a close collaboration with RKI and the use of advanced epidemiological methods including statistical analyses of epidemiological data and mathematical modelling. The work will be closely linked to vaccination policy in Germany and elsewhere. The post-holder will have unique access to surveillance and health insurance claim data from Germany and will be responsible for understanding and analysing data on the disease burden of RSV and advance our understanding of RSV transmission dynamics.
Upon request, the position may be based at LSHTM’s Berlin office on the Campus of the Charité and nested in the Centre for Global Health. Such would depend on the expertise and needs of the candidate and can be discussed during the interview
The post-holder will join a highly successful and supportive group at the Centre for Mathematical Modelling of Infectious Diseases at LSHTM, with considerable scope to develop their own research within the field. It is expected the project will involve a range of complex and original scientific research that requires a high degree of personal motivation.
Please reach out to Stefan Flasche for any questions.
- Type
- Postdoc
- Institution
- London School of Hygiene & Tropical Medicine
- City
- London
- Country
- UK (or Germany)
- Closing date
- December 12th, 2019
- Posted on
- November 13th, 2019 14:42
- Last updated
- November 13th, 2019 14:42
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