A postdoctoral position is available at the EPIcx lab within the UMR S 1136 ‘Surveillance and modeling of infectious diseases’ of the INSERM. The candidate is expected to work within the framework of the project FluDE funded by Émergence @ Sorbonne Universités with the aim of jointly analyzing spread and evolution of seasonal influenza with data driven approaches.
We are looking for a strongly motivated person with excellent skills in computational modeling, data collection and analysis, and a keen interest in multidisciplinary research. The candidate should have a PhD (or expect to have one for the starting date) in quantitative science, such as physics, applied mathematics, computer science, epidemiology or any close related discipline. Proven ability to work independently and to quickly adapt to new scientific environments are essential for this position. Good communicative skills to successfully collaborate with the other members of the group, and a good knowledge of both oral and written English are required.
The selected candidate will join the EPIcx lab at INSERM UMR S 1136 in Paris, France and will work in collaboration with Dr. Chiara Poletto. The topics of the work will be marked by the objectives of FluDE, which include the mechanistic modeling of influenza spatial spread and evolution in the French territory through a computational approach. The work will be conducted in collaboration with the Team 1 of UMR S 1136, including the Surveillance Network group within the Team (responsible for GP influenza surveillance in France), and the other partners of the project, including the Team 2 at INSERM 1136 (‘Epidemiology of Influenza and viral hepatitis: risk, prognosis and therapeutic options’), the Institute Pasteur in Paris and the Rega Institute in Leuven. Research tasks will be computational programming (development of data-driven models, agent-based approaches), the analysis and characterization of simulation output and their comparison with empirical data (including incidence and genetic data). Experience with data-intensive computational modeling, agent-based approaches and data analysis is highly desirable.
The position is full-time and fixed-term available for one year in the first instance. Applications will be continuously received and evaluated until the position is filled.
Applications should be submitted to Dr. Chiara Poletto via email (chiara.poletto@inserm.fr) and must include:
• letter of motivation;
• CV including the list of publications;
• up to 3 selected preprints/publications most relevant for this position;
• 2 letters of reference.
We are looking for a strongly motivated person with excellent skills in computational modeling, data collection and analysis, and a keen interest in multidisciplinary research. The candidate should have a PhD (or expect to have one for the starting date) in quantitative science, such as physics, applied mathematics, computer science, epidemiology or any close related discipline. Proven ability to work independently and to quickly adapt to new scientific environments are essential for this position. Good communicative skills to successfully collaborate with the other members of the group, and a good knowledge of both oral and written English are required.
The selected candidate will join the EPIcx lab at INSERM UMR S 1136 in Paris, France and will work in collaboration with Dr. Chiara Poletto. The topics of the work will be marked by the objectives of FluDE, which include the mechanistic modeling of influenza spatial spread and evolution in the French territory through a computational approach. The work will be conducted in collaboration with the Team 1 of UMR S 1136, including the Surveillance Network group within the Team (responsible for GP influenza surveillance in France), and the other partners of the project, including the Team 2 at INSERM 1136 (‘Epidemiology of Influenza and viral hepatitis: risk, prognosis and therapeutic options’), the Institute Pasteur in Paris and the Rega Institute in Leuven. Research tasks will be computational programming (development of data-driven models, agent-based approaches), the analysis and characterization of simulation output and their comparison with empirical data (including incidence and genetic data). Experience with data-intensive computational modeling, agent-based approaches and data analysis is highly desirable.
The position is full-time and fixed-term available for one year in the first instance. Applications will be continuously received and evaluated until the position is filled.
Applications should be submitted to Dr. Chiara Poletto via email (chiara.poletto@inserm.fr) and must include:
• letter of motivation;
• CV including the list of publications;
• up to 3 selected preprints/publications most relevant for this position;
• 2 letters of reference.
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