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Postdoc in computational phylogenetics: towards global synthesis of the plant Tree of Life

Postdoc in computational phylogenetics: towards global synthesis of the plant Tree of Life

Aarhus University, Denmark


ob description: You will work on a pipeline for building comprehensive phylogenetic trees for large evolutionary lineages, synthesising all available molecular data. Read more about the research ideas here: You will be part of the PhyloSynth network (, a recently initiated collaboration of computer scientists and evolutionary biologists with the common goal of developing an open, modular Tree of Life pipeline. Having grown out of the botanical community, PhyloSynth first and foremost aims to apply this pipeline to the evolutionary lineage of land plants, but our intention is to develop methods that are broadly transferable to other parts of the Tree of Life.
You will have the opportunity to work flexibly and collaboratively across the remit of PhyloSynth, leading and/or contributing to the development of pipeline modules. A special focus of the postdoc will be developing solutions for integration of publically available data (Genbank/INDSC) with newly generated genomic data, in close collaboration with the Plant and Fungal Trees of Life (PAFTOL) project at the Royal Botanic Gardens, Kew ( Part of your research may also include macroevolutionary analysis of the reconstructed trees. You will be expected to lead at least 2 papers per year (including software notes), as well as software packages that comply with PhyloSynth’s ambition of openness and interoperability. You will actively participate in PhyloSynth networking activities, including visits to collaborating groups, and public outreach.

Your profile: You are a bioinformatician, a computer scientist, or a biologist with strong programming skills. Experience with biological sequence data and/or phylogenetic methods is highly desirable, as is a track record of developing well-documented software. You have a PhD degree or equivalent, or submitted your PhD thesis for assessment before the application deadline. You are expected to have strong collaborative skills, proven abilities to publish at a high international level, and good skills in English. International applicants who do not have English as their first language must prove strong English language writing skills and fluency.


More information to be found here

Aarhus University, DK

Printed from on 26/05/18 04:17:57 PM

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