Researcher in insect phylogenomics

Swedish Museum of Natural History

Application deadline

May 16, 2025



Researcher in insect phylogenomics

In DarkTree, we will use this material to systematically target the species-rich insect radiations that are not covered properly (or at all) by previous and ongoing genome sequencing efforts. The aim is to generate the first reasonably unbiased view of the insect tree of life, based on a backbone of some 5,000 genomes ‘decorated’ with at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome sequencing, and with computer scientists at KTH in Stockholm, focused on developing scalable probabilistic machine learning techniques for online phylogenomic analysis and placement of DNA barcodes.

You will be responsible for setting up a high-throughput pipeline for de novo assembly of genomes from short-read Illumina sequencing, and processing of the assemblies to generate suitable datasets for phylogenomic analysis. Together with other team members, you will also be developing and implementing the evolutionary models used in the phylogenomic analyses, and in interpreting and publishing the results. There will be considerable freedom in developing your own research projects based on the data we generate in the project.

Qualification Requirements. We are looking for a candidate with a PhD and postdoctoral research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and insects would be meritorious.

About the employment. The employment is a temporary four-year position. Scope of employment 100%. Starting date September 1, or as agreed.

For further information about the position: please contact professor

Fredrik Ronquist, fredrik.ronquist@nrm.se, or Dr Tom van der Valk, tom.vandervalk@nrm.se.

Please upload your written application no later than May 16, 2025.

Last updated: 2025-04-11

Content Responsible: Hampus Pehrsson Ternström(hampus.persson@scilifelab.uu.se)

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