Area Location Closing Date Reference Subject area: Reaction Optimisation, Flow Chemistry, Reaction Engineering, Laboratory Automation, Machine Learning Overview: This 36-month funded PhD studentship will contribute to cutting-edge advancements in reaction optimisation through the integration of high data-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling. This exciting project involves the application of innovative methods such as flow chemistry ramping and high-throughput experimentation to expediate reaction optimisation in the syntheses of life-saving pharmaceuticals, whilst saving precious reaction material overall. The subsequent data will then be used to populate chemical reaction models to simulate and optimise reactions for the highest yields and purities. The research will be conducted using state-of-the-art equipment, including both commercial tools and bespoke in-house apparatus. As a key member of our team, you will play a pivotal role in advancing the frontiers of reaction optimisation, automation, and the modelling of chemical data. Key Responsibilities:
Qualifications:
Application Process: To apply, please submit your CV and a cover letter outlining your research interests and relevant experience to . Please also contact this email for further information and an informal discussion regarding the PhD. This is an excellent opportunity for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and industrial partners at an international level. Due to the nature of the funding, only UK applicants can be considered for this position - upon finding the successful candidate, funding is then acquired through University of Nottingham.
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