We are looking for a mathematical and statistical modeller with interest in infectious diseases, or an infectious diseases epidemiologist with strong mathematical and statistical expertise.

The postholder will develop a series of models for a range of tick-borne zoonoses of public health importance, including Lyme borreliosis, tick-borne encephalitis (TBE) and Crimean-Congo hemorrhagic fever (CCHF). The postholder will first develop a model addressing jointly Lyme borreliosis and Tick-borne encephalitis incidence, accounting for human tick-bites, environmental variables, and other traits related to natural history of disease. Second, Hyalomma spp. tick and CCHF virus dynamics will be investigated using mathematical modelling, to study the likelihood of viral emergence in the human population.
For both approaches, by fitting these models to a series of real-world datasets, the aim is to estimate transmission parameters, explore the role of each compartment on disease emergence, and look at the impact of different control strategies and climatic scenarios on disease incidence.
Funding: Agence Nationale de la Recherche (ANR-22-CE35-0003) and PEPR Prezode (PEPZ ANR-23-PEPZ-0003)

You will be responsible for:
-Developing mathematical models and fit them to data
-Providing a thorough description of datasets used for fitting
-Working with collaborators (notably other modellers, infectious diseases specialists, epidemiologists, ecologists, virologists) to develop the models and the underlying assumptions
-Publishing the results in scientific peer-reviewed journal
-Presenting the work in international conferences

Your profile:
-Mathematical and/or statistical modeller with interest in infectious diseases, or infectious diseases epidemiologist with strong mathematical and statistical expertise
-PhD in a quantitative science (e.g., applied mathematics, physics, statistics, computer science, epidemiology)
-Skills in model development, fitting and inference for infectious diseases dynamics
-Fluent coding skills (mainly R and Rstan)
-Having published modelling papers in international peer-reviewed journals as lead author

-Strong interest in multi-hosts infectious diseases systems, vector-borne, zoonoses, ecology or public health is highly desirable
-Knowledge of statistics and their use in epidemiology is highly desirable
-Good communicative skills to work in an interdisciplinary consortium
-English (fluent written and oral)
-Ability to work independently, being proactive

We offer:
-Scientific development opportunities in a national and international environment
-Excellent daily working environment and dynamic modelling group, located in Paris centre
-Interdisciplinary research environment in a “One Health” approach
-Duration about 24 months in the first instance, renewable to pursue the work on further vector-borne diseases
-Monthly gross salary from 2 997,20€ to 5 060,88 € depending on post-PhD experience, and based on INSERM salary grid

The post-holder will be employed by Inserm at the Institut Pierre Louis d’Epidemiologie et de Santé Publique (IPLESP, UMRS-1136), Surveillance and modelling team (SUMO). The position is full time and fixed-term, available for 24 months in the first instance. Applications will be continuously received and evaluated until the position is filled.The salary will be accordingly to Inserm scale, and based on professional experience or similar positions post-PhD.

Applications closing: 11/05/2026

Starting date: as soon as possible

Applications and any enquiry should be submitted to Raphaelle Metras via email: raphaelle.metras@inserm.fr, including:
-Full CV including the list of publications
-cover letter
-up to 3 selected publications/ preprints most relevant for this position
-contact information for two references

*The Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP, UMRS-1136) is an Inserm and Sorbonne Université laboratory, based in Paris, and located in two sites (Hôpital Saint-Antoine and Hôpital La Pitié-Salpetrière). IPLESP covers a wide spectrum of expertise in the field of public health research (www.iplesp.upmc.fr).

Within IPLESP, the Surveillance and Modelling team SUMO (https://iplesp.fr/en/research/teams/sumo) is a unique combination of worldwide recognized research scientists developing infectious disease surveillance and mathematical and statistical modelling approaches to study infectious diseases of public health concern. Furthermore, it hosts Sorbonne University Modeling Outbreaks Center (SUMOC) platform. SUMOC aims to advance outbreak surveillance and modeling, providing rapid, science-driven responses to emerging infectious diseases. It builds on decades of expertise at Sorbonne Université and INSERM, leveraging strong collaborations with public health institutions to establish a leading hub for epidemic preparedness and response.