In interdisciplinary cooperation with the local Herbarium Haussknecht and other partners all over Senckenberg, we create cutting-edge approaches for publication in high-ranked computer vision, machine learning and interdisciplinary venues with the ambition to convert the novel methods into directly applicable tools usable in collection-based research at Senckenberg and beyond. •Publication and presentation of research results in high-ranked machine learning, computer vision and interdisciplinary venues •Keeping up with current developments in computer vision and machine learning research •A doctoral degree (or in the stage of its finalization) in Computer Science or a related subject with a focus on computer vision and/or deep learning, ideally with interdisciplinary experience, or a doctoral degree (or in the stage of its finalization) in Biology with strong ...
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