Ph.D. Studentship in Machine learning for sustainable chemistry (UK) is inviting credible applicants who are willing to partake in its ongoing 2022 Scholarship for;
- A masters degree program
- Open to International students
- To study Sport
- At University of Nottingham
- Successful applicants will be awarded a £5,000.
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).
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.