This PhD project, hosted at University College London, offers a unique opportunity to explore the fascinating world of wasps—an insect apex predator—using cutting-edge technological approaches. For millennia, humans have been captivated by the complex societies of honeybees, but wasps remain less understood despite their ecological importance. This research aims to unravel the secrets of wasp societies by integrating expertise from agricultural sciences, biodiversity, ecology, environmental biology, and evolution with advanced artificial intelligence, data science, machine learning, and statistical analysis.

The successful candidate will join the AI-INTERVENE department and work under the supervision of Prof S Sumner, Dr D Wilson, and Prof E Leadbeater. The project will involve collecting and analyzing large datasets on wasp behavior and ecology, applying machine learning algorithms to uncover patterns, and developing new insights into the evolutionary and environmental factors that shape these insect societies. The interdisciplinary nature of the project means that students with backgrounds in biology, environmental science, agriculture, computer science, or related fields are encouraged to apply.

While the position is listed under University of Reading, the PhD will be hosted at University College London, providing access to world-class research facilities and a vibrant academic community. The project is ideal for candidates passionate about both biological research and technological innovation, and who are eager to contribute to our understanding of biodiversity and ecological dynamics.

Funding details are not specified in the current announcement, so applicants should check the project link for updates or contact the supervisors for further information. The application deadline is 19 January 2026, giving prospective students ample time to prepare their materials and reach out for guidance.

Eligibility requirements include a strong academic background in relevant disciplines, experience or interest in AI and data analysis, and proficiency in English for international applicants. To apply, visit the provided project link, prepare your CV, transcripts, and a cover letter, and follow the instructions outlined by University College London.