Discovering CO2-capture Materials Using Robots and ‘Hive Mind’ Hybrid Intelligence University of Liverpool in United Kingdom

This PhD opportunity at the University of Liverpool, Department of Chemistry, offers a unique chance to contribute to the discovery of advanced CO2-capture materials using cutting-edge robotics and artificial intelligence. The project, co-funded by a financial gift from Google, aims to develop a global ‘Hive Mind’—a delocalised network that coordinates autonomous laboratory robots to accelerate the discovery of engineered porous materials for atmospheric CO2 capture. This interdisciplinary research integrates computational chemistry, AI, software engineering, mechanical engineering, robotics, and polymer science.

Students will work within a collaborative team led by Professor A I Cooper, Dr X Evangelopoulos, Dr G Pizzuto, and Dr J Ayme, engaging with both experimental and computational approaches. The research will involve designing and programming autonomous robots, developing AI algorithms for materials selection, and synthesizing novel porous polymers and frameworks. The project is ideal for candidates interested in the intersection of chemistry, engineering, and computer science, and who are motivated by environmental challenges and technological innovation.

Applicants should have a strong academic background in Chemistry, Materials Science, Computer Science, Mechanical Engineering, Chemical Engineering, or related fields. Experience or keen interest in computational methods, robotics, or AI is highly desirable. The position requires good communication skills and the ability to work in a multidisciplinary environment. English language proficiency is necessary for non-native speakers.

While the funding details are not specified, the project benefits from significant external support and offers access to state-of-the-art facilities and resources. The application deadline is 31 March 2026, providing ample time for interested candidates to prepare their materials. For further information and to apply, visit the project link on FindAPhD or contact the supervisors directly.