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NEWS24 Jan 2025News

Post-doctoral Position in Mathematical/statistical Modelling of Respiratory Virus Transmission in France

Universite de Montpellier logo

DEADLINE: 24th February 2025

Funded by: Horizon Europe

  • Project title : Spatio-Temporal Drivers in the Transmission of Respiratory Viruses

  • Overall project duration : 21 months until 30 November 2026, possibility to extend the contract for 24 additional months (pending funding approval)

  • Project description : Respiratory virus transmission is highly heterogeneous and seasonal. Transmission dynamics are known or hypothesised to be driven by complex spatio-temporal factors such as co-circulating respiratory viruses, population density, host mobility, age, comorbidities, immunity from natural infection and/or vaccination, climate, pollution. A better understanding of the interactions between such drivers and respiratory viruses is necessary to optimise the surveillance and control of endemic and emerging respiratory infections.We are seeking a candidate for a post-doctoral position with an expertise in statistics, data analytics, or mathematical modelling of infectious diseases. The candidate will be able to pursue different research directions according to their technical skills and research interests:

    - Analyse the spatio-temporal correlation in time series of respiratory infections and socio-demographic data

    - Quantify the level of positive or negative interference between co-circulating respiratory infections

    - Estimate the impact of control interventions aimed at one respiratory virus on the transmission of other respiratory viruses

    - Predict the co-circulation of respiratory viruses based on epidemiological and socio-demographic data

  • Main mission : Identify optimal spatio-temporally targeted interventions against respiratory virus transmission by accounting for the impact of socio-demographic, geographic and climate factors.    

  • Activities :    

    - Analyse epidemiological and socio-demographic data

    - Develop statistical and/or mathematical models to characterise drivers of heterogeneous transmission of respiratory infections

    - Develop statistical and/or mathematical models to analyse hypotheses on the interaction of different co-circulating respiratory infections

     - Disseminate research results in peer-reviewed academic papers and at scientific conferences  

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