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Portal > Offres > Offre UMR5554-CELSCO-002 - post-doc (1 ans) sur des méthodes de reconstruction de réseaux phylogénétiques (H/F)

2-years post-doc position on methods for phylogenetic network reconstruction

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR5554-CELSCO-002
Date of publication : Tuesday, May 19, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 September 2020
Proportion of work : Full time
Remuneration : Between 2166 and 3247 € net according to experience
Desired level of education : PhD
Experience required : Indifferent


Phylogenetic networks are rooted and leaf-labelled directed acyclic graphs (DAGs) used
to depict the evolution of a set of species in the presence of reticulate events such as hybridizations, where two species combine their genetic material to create a new species. Reconstructing these networks from molecular data is challenging and current algorithms fail to scale up to genome-wide data.

The PD candidate is expected to work on new methods for phylogenetic networks reconstruction that scale up to genome-wide data.

The kind of methods tackled will depend on the competencies of the candidate: more combinatorial if the candidate has a PhD in computer science, more maximum likelihood- or diffusion-based if the candidate has a more mathematical background.


- design algorithms
- implements them
- test them on simulated data
- test them of real data for which the colleagues of C Scornavacca at ISEM have expertise


The candidate must have a PhD in Computer Science, Applied Mathematics or in a related field. The candidate must have finished the PhD less than seven years before the beginning of the PD fellowship. The candidate should demonstrate solid background in
combinatorial optimization and statistics. Knowledge in C++/Java programming and an interest in evolutionary models are highly desirable.

Work Context

The PD candidate will be based at the ISEM laboratory ( The candidate is expected to interact with other members of the project including, masters and PhD students, and professors.

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