AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

Applications are invited for a Research Associate post in the Department of Infectious Disease Epidemiology based at the White City Campus of Imperial College London. The department undertakes leading interdisciplinary research on infectious diseases, using approaches ranging from molecular epidemiology, through field research, to mathematical studies of transmission dynamics and disease control. A wide range of pathogens are studied in the department, including vector-borne diseases, influenza viruses, several major bacterial pathogens and a variety of parasitic infections among others. The department offers excellent research facilities and a friendly, intellectually stimulating working environment.

WHAT YOU WOULD BE DOING

The Research Associate will be responsible for supporting the Wellcome-funded Climate Programme of the Vaccine Impact Modelling Consortium which aims at better characterising the mechanistic relationship between environment, climate and disease transmission to assess implications of long-term climate change for disease burden, range and routine vaccination. The Research Associate will focus on the development of a climate driven dengue transmission model which will be fitted to global time series data using state of the art inferential methods and the high-performance computing facility of the MRC-GIDA and Imperial College.

The Research Associate will be responsible for:

• The development of mathematical models of dengue transmission dynamics that incorporate mechanistic representations of the effect of temperature and rainfall on vector population dynamics and dengue transmission
• The development of Bayesian inferential methods and code for fitting transmission models to case incidence time series and serological data, in
• Ensuring that the data used is accurate, up-to-date and complete;
• The interpretation of results and effective communication, visually, orally and written;
• Leading high-impact manuscripts through the peer-review process;
• Representing VIMC attending meetings and committees as required;
• Providing guidance to other staff, including the co-supervision of MSc and PhD students internally and externally;
• Promote the reputation of VIMC, the School of Public Health and Imperial College.