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PhD Studentship: Machine learning for sustainable chemistry

PhD Studentship: Machine learning for sustainable chemistry

United Kingdom 07 Mar 2021
University of Nottingham

University of Nottingham

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OPPORTUNITY DETAILS

Total reward
0 $
State University
Area
Host Country
Deadline
07 Mar 2021
Study level
Opportunity type
PhD
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Reference
SCI1982
Closing Date
Sunday, 7th March 2021
Department
Chemistry

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 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. 

Funding notes: 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 UK and international fees. 

Entry requirements: Applicants should have, or expected to achieve, at least a 2:1 Honours degree (or equivalent if from other countries) in Chemistry or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in computer programming will also be beneficial.

If English is not the candidate’s first language, they must provide evidence before the beginning of the studentship that they meet the University minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element).

Deadline: Review of applications will start on Monday 8th March, 2021, and the position will be filled as soon as a suitable person has been found; hence you are encouraged to apply as soon as possible.

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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