Science Officer - AI and Imaging

Our ideal candidate will be educated to MSc/MRes level in computer science, artificial intelligence, biology or a related field, or have equivalent professional experience in these fields. They will be proficient in Python and have experience working with machine learning algorithms, particularly in the field of machine vision. In working with the tool, the post-holder will be required  to communicate progress to a non-specialist team, as well as assessing non-specialist user requirements and integrating the team’s mycorrhizal expertise into the tool. They will also collaborate with Kew IT to ensure effective maintenance of the tool in accordance with Kew's IT principles. Applicants should therefore be comfortable working both collaboratively and independently, demonstrating excellent written and verbal communication skills.

As the manager of a large, digitised image dataset with accompanying metadata, the candidate should be organised, experienced in image processing, and able to liaise with a team of research assistants. Experience with the quality assessment of complex images is also desirable, along with an interest in biology, especially regarding fungi and/or plants.

Interviews are due to take place during 22-24 April.

The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth.