University of Nottingham 2022 PhD Studentship in Machine learning for sustainable chemistry (UK)

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. 

• Table of Content
• About University of Nottingham
• PhD Studentship in Machine learning
• Aim and Benefits of PhD Studentship in Machine learning
• Requirements for PhD Studentship in Machine learning Qualification
• Application Deadline
• How to Apply

PhD Studentship in Machine learning

Aim and Benefits of PhD Studentship in Machine learning

The studentship is fully-funded for 36 months. Stipend at the RCUK rate (currently £15,609 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.

Requirements for PhD Studentship in Machine learning Qualification

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).

Application Deadline

How to Apply

To apply, students should initially contact Professor Hirst, Email: [email protected] , after which a formal application can be made via the University web site

For more details, visit University of Nottingham website.