PhD Studentship in Bayesian Optimisation Considering Late-Stage Process Design University College London in United Kingdom

The Department of Chemical Engineering at University College London (UCL) is offering a fully funded 4-year PhD studentship in Process Systems Engineering, focusing on Bayesian Optimisation Considering Late-Stage Process Design. This opportunity is ideal for candidates interested in the intersection of chemical engineering, mechanical engineering, and biochemistry, with a strong emphasis on computational and data-driven approaches to process optimisation.

The successful candidate will join a vibrant research environment at UCL, working under the supervision of Dr EC Cramer. The project will explore advanced Bayesian optimisation techniques to address challenges in late-stage process design, aiming to improve efficiency and innovation in process systems engineering. The research will involve stochastic modelling, computational methods, and the integration of biochemistry and mechanical engineering principles where relevant.

This studentship covers full tuition fees and provides a stipend for living expenses for four years. Applicants should have a strong academic background in chemical engineering, mechanical engineering, biochemistry, or a related field, and possess excellent quantitative and computational skills. English language proficiency is required according to UCL's standards.

The application deadline is 31 May 2026. Prospective students are encouraged to apply early and to prepare all necessary documents, including academic transcripts, a CV, and a personal statement outlining their research interests and suitability for the project.

For more information and to apply, please visit the official FindAPhD project page.