PhD student in Computer Science or Bioinformatics

We are seeking a motivated PhD student to join our research team in developing advanced methods for phylogenetic analysis, with a specific focus on consensus tree, supertree, and network consensus algorithms. A consensus tree is a phylogenetic tree that synthesizes multiple phylogenetic trees that share the same leaf labels but may have different topologies. These trees are often generated through bootstrapping or other sampling techniques. Traditional approaches to consensus tree construction focus mainly on topological aspects, often neglecting the important role of branch length, which encapsulates the temporal progression of genetic mutations.

Our project addresses this limitation by integrating branch-length data not only in the construction of consensus trees but also in supertree construction and network consensus construction. This more comprehensive approach aims to provide a richer and more accurate representation of evolutionary relationships by combining topological structure, branch frequency, clade frequency, and branch length.

PhD student in Computer Science or Bioinformatics

– Master’s degree in Bioinformatics, Computer Science, or Mathematics.

– Skills in programming, algorithms, and preferably, experience with bioinformatics software.

– Ability to work in a multidisciplinary and collaborative research environment.