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 that may involve Markov Chain Monte Carlo Sampling (MCMC), Sequential Monte Carlo sampling or Approximate Bayesian Computation with compartmental, agent-based or metapopulations models of disease transmission calibrated on different types of data. 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:
• the development of age-structured compartmental models to study how COVID-19 affected epidemics of childhood infections in France and evaluation of impact in coming years; development of statistical models to forecast epidemic dynamics, considering a diverse set of pathogens;
• the development of statistical methods to calibrate metapopulation models to spatially structured populations and application of these methods to study uniquely detailed historical archives describing the spread of cholera in France in 1892 or data documenting the expansion of mosquitoes species;
• modelling the complex immune landscape of influenza and its impact on influenza epidemic;
• development of data augmentation strategies to study the spread of pathogens in communities such as households.
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 (email@example.com) with a CV, statement of interest and contact details of two referees that will be contacted directly after the interviews. To speed up the recruitment process, we will assess candidates continuously, as they apply to the positions. The final deadline for applications is 20th May 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
- May 20th, 2022
- Posted on
- March 18th, 2022 11:29
- Last updated
- March 18th, 2022 11:29