Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems
Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems

Feed-a-Gene's post-doctoral position at INRA Rennes


Improving the efficiency of animals in the livestock sector is a prioritized research topic for contributing to competitive industries under the Horizon 2020 strategy. Progress must be made in identifying appropriate phenotypes and appropriate indicator traits that reflect improved resource-use efficiency. In the framework of the Feed-a-Gene EU project (; Grant Agreement n°633531), we will explore and identify new animal traits directly or indirectly related to individual variation in the animal’s feed efficiency.

Description of the job

The post-doctoral fellow will have to analyze molecular data that have been previously obtained from transcriptomics methodologies (microarrays, RNAseq and/or qPCR) to determine relevant molecular indicators of feed efficiency. He/She will use statistical techniques (random forests, PLS, decision trees) to propose predictive models and bioinformatics tools (assembly of data, data-mining, gene networks) to explore the biology behind the selected genes. He/She will also have to write an original paper and disseminate obtained results through scientific meetings.


The work will be carried out at INRA (National Institute for Agricultural Research), in a research unit (UMR1348 INRA/AgroCampus-Ouest, located in Rennes/Saint-Gilles (France). This unit gathers over 125 persons studying animal physiology and livestock production systems. The post-doctoral fellow will work with scientists from the team entitled “Physiology and Metabolisms of Growth” having a great expertise in investigating the regulation of energy homeostasis in the pig, and developing many experimental studies on feed efficiency.


To be considered, the successful candidate must have a PhD related to biological sciences with excellent knowledge in statistics. Programing in R language is mandatory. A prior experience in the analysis of high-throughput transcriptomics data is recommended.

Funding is available for 1 year (May 2017-May 2018). Gross salary is around 2300 euros/month.

To apply

Please send your application by March 20th 2017 by e-mail as a single PDF (CV + cover letter summarizing research and career goals) to Florence Gondret ( Isabelle Louveau(

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Upcoming events

EAAP 2017 68th Annual meeting

28 August 2017 to 1 September 2017, Tallinn, Estonia
68th EAAP Annual meeting

8th EC-PLF European Conference on Precision Livestock Farming 2017

12 September 2017 to 14 September 2017, Nantes, France

11th IVBM International Veterinary Behaviour Meeting 2017

14 September 2017 to 16 September 2017, Samorin, Slovakia
IVBM 2017 Slovakia