The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and Sweden's largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. 1 job(s). WORK TASKS The Department of Bioinformatics and Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on Floral Traits, Machine Learning and Macro-evolution. This project aims to investigate the evolution of flower size on oceanic islands by combining phylogenetic comparative methods with machine learning-based extraction of trait data from digitised botanical floras. The successful candidate will develop computational workflows to generate large-scale, standardised datasets of floral traits and use these to test hypotheses about the predictability and drivers of flower-size evolution in island systems. As a postdoc in this project, you will work with developing methods in ML, integrate macro-phylogenetic tools to understand floral trait evolution on islands. The preferred start date is 01-10-2026. QUALIFICATIONS Qualifications: • completed a PhD in plant systematics or a related field • Demonstrated expertise in phylogenetic comparative methods and macroevolutionary analyses. • Strong programming skills in R and experience analysing large, complex biological datasets. • Excellent proficiency in English, both spoken and written. (The research environment is international, therefo…

2-year DDLS Postdoc on Floral Traits, Machine Learning and Macro-evolution