About the job

Research Fellow in Digital Chemistry and Engineering at the University of Leeds focused on applying machine learning, automation and data-driven optimisation to self-optimising flow reactor platforms integrated with high-throughput experimentation and online process analytical technology to advance the sustainability of pharmaceutical manufacturing. The role involves upgrading modular automated reactor systems, embedding sustainability metrics into optimisation loops, applying transfer learning to accelerate the transition from batch to continuous flow processes, and demonstrating the technology on pharmaceutically relevant case studies while working within a major Innovate UK–funded programme and collaborating closely with industry partners including AstraZeneca, Labman and Britest to deliver scalable, efficient and environmentally responsible digital manufacturing solutions.