HoloFood

    Open Positions

    Postdoctoral position on applied hologenomics within the H2020 project HoloFood 

    A three-year postdoctoral statistician position is available in the group of Professor Andone Estonba at the University of the Basque Country (UPV/EHU), within the H2020-IA project HoloFood (Grant Agreement N817729). The role of the researcher will be to investigate host-microbiome interactions through an hologenomic angle, that is by integrating genomic and metagenomic data at multiple ‘omic levels. The project will be developed both, at the UPV/EHU and the University of Copenhagen, UCPH.

    HoloFood is a European project that aims to optimise animal food production systems by understanding the complex molecular interactions between feeds, animals and intestinal microorganisms through the implementation of a state-of-the-art hologenomic framework. A holistic framework integrating genomics, metagenomics, metatranscriptomics, metabolomics, intestinal histopathology and immunology will be applied to samples obtained from experiments conducted in commercial-like environments. Specifically, the framework will be implemented in two of the most important protein sources in the world, namely chicken and salmon farming.

    The project is coordinated by UCPH, and the consortium is comprised of four universities, three companies and three research centers from 6 European countries. The project will be running between 2019 and 2022.

    The postdoctoral researcher will be mainly in charge of conducting biostatistics analyses of the poultry system data, although interaction with researchers working on the salmon system will be promoted. The postdoctoral researcher will spend part of the time (3-6 months) in Copenhagen. Travel expenses will be fully covered by the project while the accommodation expenses in Copenhagen will be partially covered.


    The position starts on 1st January 2020 or as close as possible to that date.

     REQUIREMENTS

    • Degree in mathematics, statistics, computer sciences or related.

    • PhD in life sciences, genetics, computational biology, or related.

    • Experience in biological data analysis

    • Highly motivated, hardworking and independent.

    • Solid publication record

    • Experience in multi’omic data integration will be very positively evaluated

    • Fluency in English (Cambridge Certificate of Advanced English or equivalent).

      To apply, please send a brief statement of research experience and career goals, C.V. and two reference letters to andone.estonba@ehu.eus / antton.alberdi@bio.ku.dk

      Application deadline: December 15th 2019 

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