Intitulé de l'offre : Plant-soil feedbacks in tropical forests in a changing world (M/F) (H/F)
Référence : UMR5300-LUCZIN-001
Nombre de Postes : 1
Lieu de travail : TOULOUSE
Date de publication : jeudi 8 février 2024
Type de contrat : CDD Doctorant/Contrat doctoral
Durée du contrat : 36 mois
Date de début de la thèse : 1 avril 2024
Quotité de travail : Temps complet
Rémunération : 2 135,00 € gross monthly
Section(s) CN : Interactions, particles, nuclei, from laboratory to cosmos
Description du sujet de thèse
The PhD project is part of a project funded by the Labex TULIP (https://www.labex-tulip.fr/) which aims to develop, on the one hand, tools based on environmental DNA (eDNA) to describe the multi-trophic terrestrial biodiversity in tropical forests and, on the other hand, to better understand in these ecosystems what are the interactions between the biodiversity of the above-ground and below-ground compartments and how they are influenced by global changes. The thesis will mainly focus on this second aspect, and will aim to assess the impact of land use change on soil biodiversity (including plants), the structure of soil food webs, and some ecosystem functions and how these impacts depend on climate change. The recruited person will participate in field campaigns and laboratory work to conduct DNA analyzes through metabarcoding and metagenomics. The PhD candidate will carry out data analysis using tools and concepts related to genomics, bioinformatics, microbiology, community ecology, trophic ecology, and functional ecology.
Contexte de travail
The candidate will be hosted at the Biodiversity and Environment Research Center (CRBE) located in Toulouse on the campus of the University of Toulouse 3 Paul Sabatier. The candidate will be affiliated with the SEVAB doctoral school at the University of Toulouse. The candidate will also interact with collaborators based in French Guiana or Brazil.
Contraintes et risques
The person will be required to carry out field sampling in a tropical context, and must be in good physical condition to carry out this type of mission. He/she must have a strong knowledge of ecology or a related discipline, and a good command of statistical analysis tools, and the R language (preferably). An interest in molecular biology and some knowledge of bioinformatics and the BASH language will be an advantage. Relational and organizational skills and the ability to communicate in English will also be an asset.