Postdocs to analyze complex epidemic data with transmission models
The candidates will be expected to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. The exact projects the successful applicants will undertake will be determined in discussion with the team, considering the applicants’ interests and experience as well as ongoing collaborations of the team. A few exemplar projects include:
• Development of models to characterize the dynamics of viral circulation of Rift Valley Fever Virus and Crimean Congo Haemorrhagic Fever Virus in animal populations as well as transmission dynamics at the animal-human interface, from serological and sequence data collected in different African sites, in collaboration with colleagues at Centre Pasteur du Cameroun;
• Development of data augmentation approaches to characterize dengue household transmission and the contribution of inapparent infections from detailed epidemiological data collected in Cambodian households, in collaboration with colleagues at Institut Pasteur of Cambodia;
• Development of statistical methods to improve epidemic forecasting of influenza, COVID-19 and other infectious diseases in France, in collaboration with colleagues at Santé Publique France (French CDC);
• Analysis of highly resolved GPS mobility data to better understand how behaviours and mobility affect the spread of infectious diseases in France.
We are looking for postdocs but also engineers with a strong expertise in programming. Successful applicants will collaborate with other members of the team and colleagues in partner institutions. They will be supervised by Dr Simon Cauchemez and will be given a one-year contract with possibility to extend it for longer periods, should both parties agree.
Interested candidates should contact email Cécile Limouzin (firstname.lastname@example.org) with a CV, statement of interest and contact details of two referees that will be contacted directly after the interviews. The final deadline for applications is 7th October 2022, with contracts starting as soon as possible.
The last few years have been marked by the emergence and spread of a number of infectious diseases across the globe. For example, outbreaks of Zika and chikungunya in the Americas, Ebola Virus Disease in West Africa and MERS coronavirus in the Middle East each resulted in substantial public health burden and received widespread international attention. More recently, the COVID-19 pandemic has had a devastating impact on populations across the world. These emergences have highlighted the many challenges faced by the public health community to anticipate, assess, manage and control these epidemics. In addition, established infectious diseases such as seasonal influenza, dengue or malaria keep on affecting hundreds of millions of persons each year.
In this context, the main research objective of the Mathematical Modelling of Infectious Diseases at Institut Pasteur is to develop state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data streams. We work closely with public health agencies both in France and abroad.
Since the start of the COVID-19 pandemic, our research Unit has been heavily involved in the French response to the pandemic, providing modelling support to the French Ministry of Health, the Scientific Committee on COVID-19, the French CDC (Santé publique France), the French National Immunization Technical Advisory Group (Haute Autorité de Santé) to inform policy making and planning.
For more details about our research projects, please visit our webpage at
https://research.pasteur.fr/en/team/mathematical-modelling-of-infectious-diseases/ and our page dedicated to COVID-19 research https://modelisation-covid19.pasteur.fr/ (in French).
Salary: Depending on education and experience.
Location: Mathematical Modelling of Infectious Diseases Unit, Department of Global Health, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France.
• Experience in working with mathematical and/or statistical models.
• A strong interest in infectious disease epidemiology.
• Ability to collate and analyse data, interpret and present results to a high standard using a range of specialised research techniques.
• Good knowledge of the R statistical programming language.
• Programming experience in C, C++, Python or Java is desirable
• Excellent verbal and written communication skills. The working language of the laboratory is English.
• Experience in communicating research findings to a non-specialist audience.
• Ability to work independently but also as part of a larger interdisciplinary research team.
• For postdoc positions, PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, computer science, population biology or a similarly quantitative discipline. For engineering positions: a master or Engineer degree in one of these disciplines.
- Institut Pasteur
- Closing date
- October 7th, 2022
- Posted on
- September 7th, 2022 15:53
- Last updated
- September 7th, 2022 15:53