PhD position in molecular evolution and biodiversity A PhD position in “Computational analysis of molecular evolution and genomic interactions in complex biological systems” is available at the University of Trieste, Italy. The PhD student will apply and develop analytical methods to leverage genomic data and obtain biodiversity estimates from large genomic datasets – including metagenomic and comparative genomic datasets. We are looking for a student motivated to explore biodiversity patterns using genomes from across the tree of life, and to learn how to develop and implement evolutionary models to describe genetic functional variation in wide phylogenies and in complex biological communities. We are particularly interested in students with bioinformatic experience, or specific knowledge in comparative genomics, population genetics or phylogenetics; and more importantly, students with a keen interest in developing tools for the biodiversity community and quantitative methods in ecology, evolution and biodiversity. Computational experience in programming/scripting (R, python and Linux) is very welcome, but not strictly necessary. The main requirement for the position is a Master Degree in Biology or related disciplines. Italian or English proficiency are required. Students will be expected to start in November 2026. The position is part of the new PhD School in “Biodiversity, Evolution and Adaptation” at the University of Trieste, and is funded by a Scholarship MUR/University co-financed by the Department of Environmental Life Sciences with funds from Horizon Europe – Programma Quadro 2021-2027. The PhD will be carried out at the Department of Life Sciences in Trieste, a culturally rich coastal town in North-Eastern Italy, close to Slovenia, Austria and the Balkans, ideal for lovers of coffee, sea and hiking. The deadline for the application is on the 25th of May. More information can be found here: https://portale.units.it/en/research/research-training/phd-programmes/biodiversity-evolution-adaptation For more information and expressions of interest, please contact: “Fabrizio Mafessoni” https://fabrimafe.github.io/ or “Alberto Pallavicini” (to subscribe/unsubscribe the EvolDir send mail to evoldir@evoldir.net)