Postdoc in Floral Traits, Machine Learning & Macro-evolution | Naturhistoriska Riksmuseet

A two-year Postdoc position focused on investigating 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.

• Develop computational workflows to generate large-scale, standardised datasets of floral traits
• Test hypotheses about the predictability and drivers of flower-size evolution in island systems
• Develop methods in machine learning
• Integrate macro-phylogenetic tools to understand floral trait evolution on islands

• PhD in plant systematics or a related field
• Expertise in phylogenetic comparative methods and macroevolutionary analyses
• Strong programming skills in R
• Experience analysing large, complex biological datasets
• Excellent proficiency in English (spoken and written)