Applications are invited for a PhD Studentship, starting October 2021, in the School of Chemistry at the University of Nottingham. This project will focus on developing 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.
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Scholarship Sponsor | University of Nottingham |
Scholarships level | PhD studentship |
Award Amount | Stipend at the RCUK rate (currently £15,285 per annum) |
Fellowship Period | Four years |
Study area | Chemistry |
Opening date | February 12, 2021 |
Closing date | March 07, 2021 |
The project will be supervised by Jonathan Hirst and is part of a significant 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.
The deadline for applications is March 07, 2021
The studentship is fully-funded for 48 months. Stipend at the RCUK rate (currently £15,285 per annum), and tuition fees will be paid at the UK rate. International students will have to pay the difference between the UK and international fees.
To apply, students should initially contact Professor Hirst, Email: jonathan.hirst@nottingham.ac.uk , 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.
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