PhD Studentship in Machine learning for sustainable chemistry

PhD Studentship in Machine learning for sustainable chemistry is offered by the University of Nottingham, for a PhD Studentship, starting September 2024, 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. 

Eligibility for the PhD Studentship in Machine learning for sustainable chemistry :

• Open to all nationalities.
• 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.
• An 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's minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element).

Value of the PhD Studentship in Machine learning for sustainable chemistry :

• This scholarship offers Stipend at the RCUK rate (currently £15,609 per annum) + tuition fees will be paid at the UK rate.
• International students will have to pay the difference between UK and international fees.