Postdoc: Floral Traits, ML & Macroevolution

Visa Hunt; Stockholms kommun; On-site; SEK 357,120 - 468,720; Full time

Job summary

The Swedish Museum of Natural History invites applications for a two-year Postdoc position in the Department of Bioinformatics and Genetics. The project focuses on Floral Traits, Machine Learning and Macro-evolution, aiming to model flower-size evolution on island systems using phylogenetic and ML approaches.

The successful candidate will develop computational workflows to generate standardized trait datasets and integrate macro-phylogenetic tools, with a preferred start date of 01-10-2026.

Qualifications

• 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.

Responsibilities

• Develop computational workflows to generate large-scale, standardised datasets of floral traits.
• Use these datasets to test hypotheses about the predictability and drivers of flower-size evolution in island systems.
• Integrate macro-phylogenetic tools to understand floral trait evolution on islands.
• Collaborate within the Department and develop methods in ML for trait data extraction from floras.

Skills

Phylogenetic methods

Macroevolutionary analyses

R programming

English proficiency

Education

PhD in plant systematics or related field

Tools

R programming

Job description

The Swedish Museum of Natural History invites applications for a two-year Postdoc position in the Department of Bioinformatics and Genetics. The project focuses on Floral Traits, Machine Learning and Macro-evolution, aiming to model flower-size evolution on island systems using phylogenetic and ML approaches.

The successful candidate will develop computational workflows to generate standardized trait datasets and integrate macro-phylogenetic tools, with a preferred start date of 01-10-2026.