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Portal > Offres > Offre UMR5193-PIEMAZ-001 - Modélisation bayésienne de maladies infectieuses en lien avec des changements socio-écologiques (H/F)

Bayesian modelling of infectious diseases linked with socio-ecological changes (M/W)

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

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General information

Reference : UMR5193-PIEMAZ-001
Workplace : TOULOUSE
Date of publication : Monday, May 18, 2020
Type of Contract : FTC Scientist
Contract Period : 18 months
Expected date of employment : 1 July 2020
Proportion of work : Full time
Remuneration : gross salary between € 2648 and € 3054 / month depending on qualification
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

The post-doctoral position is a part of the ANR project « FutureHealthSEA: Predictive scenarios of health in Southeast Asia: linking land use and climate changes to infectious diseases » (https://anr.fr/Projet-ANR-17-CE35-0003) coordinated by S. Morand (ecologist ; CNRS/CIRAD, based at Kasetsart University, Bangkok) et C. Lajaunie (legal scientist, LPED Marseille). The work will be held in Toulouse under the scientific supervision of P. Mazzega (CNRS, LISST Toulouse) in close cooperation with S. Morand (epidemiological aspects) et C. Lajaunie (link with public policies).
In a nutshell, The project located in Southeast Asia aims at developing scenarios of future health embodied in the One Health approach at the human-animal-environment interface. By investigating the impacts of the intensification of the circulation along the economic corridor Thailand-Laos (linking Myanmar to Vietnam) on the evolution of infectious diseases (IDs) of public health interests it intends to: a) integrate ecology and environmental sciences with health sciences and policies: b) foster scientific knowledge integration at various decision levels (regional to local); c) analyze retrospectively and comparatively IDs' dynamics associated to policies, land use and biodiversity changes; d) combine predictive process-based scenarios and policy-driven story-telling scenarios of health incorporating disease ecology, biodiversity erosion, future land use and climate changes.
The specific task of the recruited person is to develop/adapt and exploit a bayesian approach of modelling of the interactions between IDs and environmental or socio-ecological changes at various spatial scales.
A special attention will be payed to the identification of the limits inherent to the inferential capacity of the informational structure (model + data).
The incidence data of the studied diseases are available (but they are not public) for the period 2003 to 2009 for the whole Thailand (Thai Ministry of Health). Numerous sociodemographic, environmental and agro-environmental data are also available and will have to be pre-treated and organized to facilitate their sharing within the project prior their exploitation into the bayesian model.
A state of the art of Bayesian approaches of epidemiology will be produced while giving contextual information on this research approach and contributing to co-publications.

Activities

The main activities of this post-doctorate student – conducted in close cooperation with the research team are the following :
• Produce a state of the art of Bayesian approaches applied to the epidemiology of IDs (and, when needed, identification of associated software);
• Implement a bayesian code of epidemiological model and adaptation to the constraints associated to the development of the project;
• Present sensitivity analysis (sensitivity to parameters, to data errors, to specific conceptual diagrams constituting variants for the model);
• Analyse and determine the limits of the inferential capacity of the structure (model and data);
• Preprocess a heterogenous set of data linked to the project and contribute to their availability to the project members;
• Contribute to the preparation and publication of scientific articles;
• Contribute to the project reporting

Skills

• Demonstrate a solid experience : publication(s) regarding the use of bayesian numerical models applied to complex systems (an experience in epidemiology would be much appreciated)
• Requisite: Mastering Python programming and – it would be a plus- of R programming.
• Language skills : Spoken, read and written english (to write articles) necessary.
• Interdisciplinary openness is necessary.
• Teamwork ability and will to dialog.
• Autonomy, organisational and reporting capacity.
• Scientific integrity.

Work Context

LISST (Laboratoire Interdisciplinaire Solidarités, Sociétés, Territoires, Interdisciplinary Laboratory Solidarites, Scieties, Territories https://lisst.univ-tlse2.fr/) is a joint research unit in Humanities and Social Sciences covering a broad thematic sections 36, 38 et 39 of the CNRS, Centre National de la Recherche Scientifique, France). Located in la Maison de la Recherche on Mirail Campus (Toulouse-Jean-Jaurès University), LISST is under the joint supervision of Toulouse Jean-Jaurès University, CNRS (http://www.cnrs.fr/), EHESS (https://www.ehess.fr/fr) and ENSFEA (http://www.ensfea.fr/).
Besides French teams (CIRAD-ASTRE, CNRS – ISEM, IRD-IEES), the FutureHealthSEA project is led in close collaboration with numerous partners in Thailand notably the Faculty of Veterinary Technology (Kasetsart University) and the Faculty of Tropical Medicine of Mahidol. Field trips (to gather ecolgical, environmental sociological and population-related data for instance) are coordinated by S. Morand mainly in Northern Thailand.
For further information: https://anr.fr/fr/actualites-de-lanr/details/news/quels-sont-les-impacts-des-changements-dusage-des-terres-sur-lemergence-de-maladies-infectieuses-e-1/
ResearchGate profiles:
Morand S. : https://www.researchgate.net/profile/Serge_Morand
Lajaunie C.: https://www.researchgate.net/profile/Claire_Lajaunie
Mazzega P.: https://www.researchgate.net/profile/Pierre_Mazzega

Constraints and risks

Some data are confidential. The recruited person will have to sign a confidentiality agreement including the prohibition to reproduce and disclose the data (for instance the data from the Ministry of Public Health).
Short period travels in France and abroad are planned.

Additional Information

The post-doctoral position is a part of the ANR project « FutureHealthSEA: Predictive scenarios of health in Southeast Asia: linking land use and climate changes to infectious diseases » (https://anr.fr/Projet-ANR-17-CE35-0003) coordinated by S. Morand (ecologist ; CNRS/CIRAD, based at Kasetsart University, Bangkok) et C. Lajaunie (legal scientist, LPED Marseille). The work will be held in Toulouse under the scientific supervision of P. Mazzega (CNRS, LISST Toulouse) in close cooperation with S. Morand (epidemiological aspects) et C. Lajaunie (link with public policies).
For further information: https://anr.fr/fr/actualites-de-lanr/details/news/quels-sont-les-impacts-des-changements-dusage-des-terres-sur-lemergence-de-maladies-infectieuses-e-1/

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