About the job

Are you an experienced and ambitious researcher looking for your next challenge? Do you want to further your career in one of the UK’s leading research-intensive Universities? Are you looking to apply your skills in automation and reactor engineering to the development of new microwave flow platforms for use in materials chemistry? Metal-organic frameworks (MOFs) have attracted extensive interest due to their porosity and structural diversity, with applications in catalysis and healthcare offering solutions for global challenges such as energy, pollution, and disease. However, current discovery methods are inefficient, unreproducible, and not scalable. This UKRI Future Leaders Fellowship project aims to develop AI-guided, self-optimising microwave flow reactor platforms equipped with real-time analytics and deliver new insights into MOF crystallisation processes. As a Research Fellow, you will design automated flow microwave reactor platforms, integrate machine learning for optimisation, and work with collaborators like Diamond Light Source, Mettler Toledo, and Flow-Xl. The role is based at the University of Leeds’ Institute for Process Research and Development (iPRD) & School of Chemistry. A PhD in Chemical Engineering, Chemistry, or a related field is required, with experience in reactor automation and flow technology. While MOF chemistry, programming, or microwave tech experience is advantageous, it is not essential. This role offers international conference opportunities, training support, and flexible working arrangements. Visa sponsorship is available under the Skilled Worker and Global Talent routes.