Published: 11 Mar 2022 1,812 views
Applications are invited for a PhD Studentship, starting September 2022, in the School of Chemistry at the University of Nottingham. This project will focus on the development of new interpretable and interactive machine learning models and data-driven strategies for predicting consensus green chemistry metrics, enabling researchers to make AI-augmented rational assessments of different chemical synthetic routes.
The project will be supervised by Jonathan Hirst and is part of a major new award from the Royal Academy of Engineering Chairs in Emerging Technologies scheme. The project, will involve close collaboration with a range of synthetic chemists with a specific focus on green and sustainable chemistry, via the EPSRC-funded Prosperity Partnership “Accelerated Discovery and Development of New Medicines: Prosperity Partnership for a Healthier Nation” and the Centre for Doctoral Training (CDT) in “Sustainable Chemistry: Atoms-2-Products an Integrated Approach to Sustainable Chemistry”. The project will provide a range of experience in computer programming and the development and application of machine learning algorithms to chemistry.
| Application Deadline | 10 Apr 2022 |
| Country to study | United Kingdom |
| School to study | University of Nottingham |
| Type | PhD |
| Course to study | View courses |
| Sponsor | University of Nottingham |
| Gender | Men and Women |
To apply, students should initially contact Professor Hirst, Email: [email protected] , after which a formal application can be made via the University web site at: https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx.