Postdoctoral fellowship on integrative biology analysis and modelling of the influence of host and gut microbiota factors on the piglet sensitivity at weaning
Deadline for applications
Date of publication


Details on the type of contract
Postdoctoral contract
Duration of contract
24 months

2 300 €/month (depending on the experience )


Name of unit of assignment
UMR1313 GABI Génétique Animale et Biologie Intégrative
Address of unit of assignment
INRA Domaine de Vilvert - 78352 JOUY-EN-JOSAS CEDEX
Website of unit of assignment
Region of assignment
Paris Region


Working environment

Description de l’unité et de l’équipe d’accueil : UMR1313 GABI Génétique Animale et Biologie Intégrative Domaine de Vilvert 78350 Jouy-en-Josas, UMR 791 MoSAR Modélisation systémique appliquée aux ruminants 16 rue Claude-Bernard, 75005 Paris.


 The postdoctoral fellow will join the interdiscisciplinary project PIGLETBIOTA funded by ANR. The main goal of PIGLETBIOTA is to develop research that will contribute to adapt pig production systems to a reduction of antibiotics usage. The project aims at providing knowledge on the implication of host’s genetics and gut microbiota in the adaptive response of piglets to weaning. Datasets have already been generated to study the early life of piglets from birth to post-weaning by the analysis of host traits (clinical survey, immunological traits, zootechnical parameters, high density genotyping) and the dynamics of the gut microbiota in this transition period.


The main mission of the postdoc fellow will be to develop statistical genetics and mathematical tools for the analysis of the resulting heterogeneous data and its further integration into a framework that will help identify drivers for increasing resistance at weaning for piglets fed without antibiotics. Ideally, the modelling framework will have two components. Firstly, a statistical modelling component to unveil the interactions between microbiome data, host genetics and weaning traits. Secondly, a dynamical modelling component to reveal biological information related to robustness and sensitivity by analyzing the dynamical trajectory of zootechnical parameters. Together, these modelling approaches will guide the definition/construction of biomarkers able to predict piglet robustness.


Site Web de l’unité :

Training and skills required
Formation recommandée : Thesis in biology or applied maths/stats
Connaissances souhaitées : Expertise in multivariate statistics (PLS, PCA, rCCA) and dedicated software
Expérience appréciée : A good knowledge of biological systems. Previous experience in the analysis of omics data will be a plus, especially in the area of livestock genetics
Aptitudes recherchées :  Excellent communication skills to interact in an interdisciplinary environment involving geneticists, animal scientists and modellers.  Capacity to extract biologically meaningful knowledge from mathematical developments and willingness to learn tools for modelling dynamical systems


Jordi Estellé / Nicolas Friggens