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Portail > Offres > Offre UMR7332-CATLEV-013 - Chercheur-e H/F - Modélisation et évaluation de stratégies de tests Covid dans différents contextes

CDD chercheur – Modeling and evaluation of covid screening strategies in several contexts.

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : jeudi 11 mars 2021

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General information

Reference : UMR7332-CATLEV-013
Workplace : MARSEILLE 09
Date of publication : Thursday, February 18, 2021
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 April 2021
Proportion of work : Full time
Remuneration : Entre 2728.00 € et 3145.00 € bruts mensuels selon expérience.
Desired level of education : PhD
Experience required : Indifferent

Missions

Development of a numerical simulation pipeline for the modeling of the spread of Covid in various environments, based on empirical contact data; design and implementation of screening strategies; validation and optimization of strategies.

Activities

- Gain familiarity with the contact data currently available to the team.
- Participate to the development of a propagation model for Covid-19, based on empirical contact data, and implement the model numerically.
- Participate to the design of screening strategies, implement them numerically;
- Analyze the outcomes in terms of benefits and costs, optimize the strategies. -Implement the effect of remote teaching/working and of the limitation of contacts in an environment.
- Develop a realistic way to couple microscopic numerical simulations in specific contexts with the community spread.

Skills

- Expertise in: Statistical physics, Epidemic modeling, Complex networks, Programming (python preferred), Network data analysis.
- English language.

Work Context

The work is within the ANR-funded project COSCREEN “Design and evaluation of Covid screening strategies in various contexts based on empirical contact data” that aims at the optimization of Covid screening strategies. COSCREEN addresses the urgent and crucial need to design, validate and optimize new strategies of repeated testing and screening in contexts such as schools, offices, universities. In this project, we will design detailed realistic numerical simulations of the spread of COVID-19 that take into account the whole complexity of contacts between individuals by leveraging empirical high-resolution contact data. This will provide realistic scenarios and optimized policies for use by policy makers.
The work will take place in the complex systems and statistical physics team of the Centre de Physique Théorique on the Luminy campus in Marseille. It will be supervised by the PI at the CPT as well as in close cooperation with the INSERM EPIcx lab in Paris.

Constraints and risks

- Teamwork.

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