Paris, 15 December 2021
Postdoctoral positions in mathematical/statistical modelling of the COVID-19 pandemic at Institut Pasteur, Paris
We are seeking two postdocs to contribute to COVID-19 related research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The selected candidates will collaborate with other members of the team and colleagues in partner institutions. The exact projects the successful applicants will undertake will be determined in discussion with the team, taking into account the applicants’ interests and experience as well as the latest developments in the pandemic. Projects may for example involve strengthening our understanding of the transmission dynamics of SARS-CoV-2, producing short and medium term forecasts, evaluating and anticipating the impact of non-pharmaceutical and pharmaceutical interventions on the pandemic, assessing the threat posed by the Omicron variant and determining how non-pharmaceutical measures implemented during the pandemic affected transmission dynamics of other pathogens.
The postdocs will be expected to work with and develop state-of-the-art statistical and mathematical methodology that may involve Markov Chain Monte Carlo Sampling (MCMC), Sequential Monte Carlo sampling or Approximate Bayesian Computation with compartmental or agent-based models of disease transmission.
The postdocs 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 deadline for applications is 16 January 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 Public 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 and our page dedicated to COVID-19 research (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.
- Research experience of 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.
- PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, computer science, population biology or a similarly quantitative discipline.