法国巴黎巴斯德研究所提供关于COVID-19流行的数学/统计建模博士后职位
Job Description
Postdoctoral position in mathematical/statistical modelling of the COVID-19 pandemic at Institut Pasteur, Paris
We are seeking one postdoc to contribute to COVID-19 related research projects of the Unit. These projects include: now-casting and forecasting of a second pandemic wave to inform healthcare planning; assessment of the impact of different types of control measures including vaccination, social distancing interventions, tracing apps, testing and isolation; statistical analysis integrating multiple data types (e.g. detailed death and hospitalization records, case and serological data) to better characterize the burden of disease and predict current levels of immunity; analyses of outbreak data in specific settings (e.g. households, hospitals).
The postdoc 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 exact projects the successful applicant will undertake will be determined in discussion with the team, taking into account the applicants’ interests and experience.
The deadline for applications is 6 September 2020, with contracts starting as soon as possible.
Salary: Depending on education and experience.
Location: Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France.
Person specification:
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++ 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.
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