A two-year postdoc position in signal processing and Monte Carlo methods applied to epidemiology has opened in Nantes, in the framework of the ANR project OptiMoCSI. More details can be found in the offer https://bpascal-fr.github.io/assets/pdfs/PostdocOffer-3.pdf.
The daily surveillance of the Covid-19 pandemic relies on the reproduction number R0, which accounts for the averaged number of secondary cases stemming from a primary infection. The precise, fast and robust estimation of this indicator is thus of utmost importance for National Health Authorities to design sanitary politics. The purpose of the project is to develop automated data driven procedures for the estimation of the reproduction number of an epidemic accompanied with assessment of the confidence level.
More context and mathematical details can be found in these slides https://bpascal-fr.github.io/assets/pdfs/LJK23.pdf providing an overall presentation of the previous works on this topic by the OptiMoCSI consortium.
For further information, do not hesitate to contact barbara.pascal@cnrs.fr, jerome.idier@ls2n.fr, sebastien.bourguignon@ls2n.fr and patrice.abry@ens-lyon.fr.
Applications are to be transmitted via https://emploi.cnrs.fr/Offres/CDD/UMR6004-BARPAS-005/Default.aspx.
Starting date is flexible between February 2025 and October 2025.The contrat is one-year long, renewable once.
