ORGANISATION NAMEEPSRC Centre for Doctoral Training in Cross Disciplinary Approaches to Non-Equilibrium Systems
ORGANISATION COUNTRYUnited Kingdom
RESEARCH FIELDNatural sciences
CAREER STAGEFirst Stage Researcher (R1) (Up to the point of PhD)
Non-equilibrium processes underpin many challenging problems across the natural sciences. The mission of CANES is to train a new generation of researchers in cross-disciplinary approaches to non-equilibrium systems, focussing on the three key strands of theoretical modelling, simulation and data-driven analysis. It draws on a broad range of supervisor expertise in Mathematics, Physics, Chemistry, Informatics, Computational and Systems Biomedicine, Earth and Environmental Sciences, including partners at Imperial College London, University College London and Queen Mary University London.
What is funded
The Centre funds around 10 studentships each year.
- A tax-free stipend of around £16,500 per year.
- Tuition fees.
- A generous conference travel and internship fund.
Each studentship is funded for 4 years.
Excellent undergraduates holding or expecting to gain a Bachelor’s degree (or equivalent international qualification) with First Class honours in a relevant discipline including mathematics, physics, chemistry, engineering, materials science, biophysics, geophysical sciences and computer science. A 2:1 (upper second class) honours degree (or international equivalent) may be acceptable depending on the candidate's academic background, including e.g. strong performance (predicted or achieved) in a Master's degree.
A strong background in quantitative science will be essential for students to take full advantage of the CANES training programme. which has a significant mathematical component. Applied mathematics students should find the programme a particularly attractive possibility to both broaden their skills and apply them to current research frontiers in non-equilibrium science.
The programme can support UK applicants as well as a limited number of students from the EU and overseas.