Design of Formulated Products Using Machine Learning
A 3-Year PhD studentship is available in Sustainable Reaction Engineering group in the area of design of formulated products using machine learning. The specific scientific challenge to be addressed in this project is the link of physical molecular knowledge with machine learning techniques of product design and testing. The project is the continuation of the successful previous project on machine learning in developing liquid formulations for consumer products. This project is co-funded by BASF (Shanghai) and Cambridge Centre for Advanced Research and Education in Singapore (CARES). The studentship will be set-up as a Cambridge-CARES studentship, when the first year of the study will be in Cambridge, and consecutive two years will be in Singapore in the facility of CARES, under continuous supervision by Prof. Alexei Lapkin. The studentship is open to all nationals.
Successful applicants would have their first degree in (Bio)Chemical Engineering or Chemistry, with a strong background and interest in mathematics. Prior experience in coding is not necessary, but is an advantage. Standard admissions criteria apply; please see: https://www.graduate.study.cam.ac.uk/courses/directory/egcepdcng/requirements
The studentship is expected to start in October 2020. To apply for this studentship, please submit a formal application for admission to study Chemical Engineering via the University’s Graduate Admissions Office (https://www.graduate.study.cam.ac.uk/), noting Prof Lapkin as the prospective supervisor and quoting reference NQ21949 in the research proposal.
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