The French National Research Institute for Agriculture, Food, and the Environment (INRAE) is a public research establishment under the dual authority of the Ministry of Agriculture and the Ministry of Research.
INRAE is recruiting researchers by open competition and offering permanent position.
It is a major player in research and innovation created on 1st of January 2020. INRAE is a research institute resulting from the merger of INRA and IRSTEA. It is a community of 12,000 people with more than 200 research units and 42 experimental units located throughout France.
The institute is among the world leaders in agricultural and food sciences, in plant and animal sciences, and is 11th in the world in ecology and environment. INRAE’s main goal is to be a key player in the transitions necessary to address major global challenges. In the face of the increase in population, climate change, scarcity of resources and decline in biodiversity, the institute develops solutions for multiperformance agriculture, high quality food and sustainable management of resources and ecosystems.
Work environment, missions and activities
The CR will be part of the "Fruit and Vegetable Genetics and Improvement" Research Unit, whose work aims to enhance genetic diversity, an essential lever to meet the challenge of the agroecological transition of horticulture. The CR will be integrated into the DADI team (Diversity, Adaptation, Determinants and Integration), which includes 4 researchers and 5 engineers.
The recruitment aims to extend the team's skills on the integration of multi-scale omic data (metabolome, transcriptome, genome, even epigenome and proteome) in order to identify genes of interest for a tomato production of quality adapted to low inputs. The integration of genetic, metabolomic and transcriptomic diversity in predictive models (genomic prediction or ecophysiological models) is essential for the definition of ideotypes adapted to growing conditions under abiotic stress or under conditions of low inputs meeting the expectations of the agroecology.
The CR will benefit from the results recently acquired in the team on populations (association panels, multi-parental population) characterized under several stress conditions, for a set of agronomic, metabolomic and transcriptomic traits (for some of the conditions). He/she will develop statistical approaches allowing the integration of these data and their valorization and will contribute to their enrichment by relevant data sets (proteome, epigenome ...). He/she will explore the links between metabolomic, transcriptomic and genomic polymorphisms data to identify genes / networks whose variation could explain that of metabolites involved in fruit quality or in the response to stress. Ultimately, he/she will be able to validate these relationships by specifically modifying the gene(s) of interest.
In collaboration with the ecophysiologists of the Plant and Systems in Horticulture Research Unit, he/she will test the models of fruit development and plant growth according to the environment, developed on a few varieties and will identify the most relevant genetically variable parameters to predict responses to environmental variations. He/she will compare these approaches with those developed in genomic prediction models integrating information from the whole genome. He/she will test the contribution of transcriptome data to these approaches.
The CR will also interact with the bioinformatics team. He/she will be supported by the technical team for aspects of plant monitoring, phenotyping, characterization of the metabolome, molecular and cellular biology.
He/she will benefit from the large collections of genetic resources kept in the Unit by the Biological Resources Center.
He/she will benefit from the GAFL's experimental resources for experimentations under controlled conditions and the molecular biology and cell biology platform for transcriptome and genome editing analyzes. Part of the data production will be carried out on the national genomics and metabolomics platforms.
Training and skills
Candidates must have a PhD or equivalent.
The researcher should have good skills in quantitative genetics and statistical modeling. He/she will have to master the basic tools of bioanalysis and be able to work with large datasets.
He/she should be able to interact with (eco) physiologists but can acquire the necessary skills through training. Knowledge in horticulture and agronomy would be a plus but could be acquired locally
INRAE's life quality
By joining our teams, you benefit from:
- 30 days of annual leave + 15 days "Reduction of Working Time" (for a full time);
- parenting support: CESU childcare, leisure services;
- skills development systems: training, career advise;
- social support: advice and listening, social assistance and loans;
- holiday and leisure services: holiday vouchers, accommodation at preferential rates;
- sports and cultural activities;
- collective catering.