Post-doc Position Available – Extreme Resistance RNA-Seq / Genomic analysis


The postdoctoral researcher would integrate, asap, the Laboratory of Evolutionary Genetics and Ecology of Karine Van Doninck at UNamur (Belgium) and will join the group RISE (Rotifer In Space) supported by Dr B. Hespeels.

RISE is a project started in 2016 that aims to send rotifer bdelloids to the International Space Station. Experiments on the rotifer bdelloid A.vaga, with its unique characteristics and a draft genome available, may contribute significantly to our understanding of living in extreme environments. RISE was designed with the intention to use bdelloids as a new model organism for space research. Research group addresses the following questions:  1) How microgravity and space flight are affecting biological processes of A. vaga? 2) What are the limits of bdelloids extreme resistance to radiation? 3) What are the molecular mechanisms involved in protection and repair of damage induced by different radiation sources? 4) Are microgravity and space flight affecting protection and repair mechanisms of A. vaga?

The postdoctoral researcher will be involved in RNAseq and genomic data analysis in order to document question described before. Specific aims are: -find pathways and genes and transcriptomic peculiarities involved in desiccation, x-ray tolerance and adaptation to µG using available RNAseq data; Evaluate how genome structure is evolving after massive exposure to DNA DSB under 1G and µG environment.

For this project our laboratory would like to hire a postdoctoral researcher with strong expertise in bio-informatics and genome assemblies and with a strong interest in questions related to extreme resistance and genomic evolution induced by radiation.
Applications from women and international researcher are encouraged.

Send CV and motivation letter to and before 31th January 2019


  • Strong background in RNAseq data analysis are required.
  • Skills in comparative genomics are also appreciated : management, trimming and analysis of NGS data; de novo genome assemblies; read mapping; genome annotation; SNP calling; creation of bio-informatic pipelines.

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