Autonomous Materials Group

This PhD funding opportunity focuses on high-throughput synthesis and characterisation of energy materials, specifically hybrid perovskites. The project aims to accelerate the discovery and understanding of hybrid perovskites through high-throughput synthesis and characterisation, supported by automated robotic platforms. Advanced high-throughput characterisation, including X-ray diffraction, Raman spectroscopy, and photoluminescence spectroscopy, will be employed to elucidate synthesis-structure-property relationships, while machine learning will guide experiment selection and data interpretation. Through the integration of materials chemistry, automation, and AI, the project aims to explore a new paradigm for materials discovery with autonomous laboratory approaches. The funding provides support for fees and maintenance over a four-year period for a full-time or part-time PhD student.