Funded PhD Studentship in Probability

Summary

Research covers key areas of probability and stochastic analysis. This reaches from the study of stochastic (partial) differential equations, regularisation by noise, rough paths, and theoretical and practical study of related numerical methods to random growth models, random graphs, scaling limits, and statistical physics. There are strong connections to analysis, financial mathematics and statistics.

This is a strong and active area of research. There are many collaborations and interactions between researchers across these areas, both at Leeds and externally, and there is a thriving community of PhD students, as well as regular seminars and reading groups in Probability and Financial Mathematics.

We are delighted to offer a fully funded PhD studentship and applications are invited from strongly motivated and academically excellent candidates for PhD study in our Statistics department, within these strategic priority Research areas:

Matthew Aldridge: group testing, information theory, discrete probability

Nadhir Ben Rached: Monte Carlo methods, variance reduction techniques, rare event simulations, stochastic numerics, uncertainty quantification

Leonid Bogachev: statistical physics

Konstantinos Dareiotis: stochastic analysis, stochastic (partial) differential equations, regularization by noise, stochastic numerics, rough paths

Peter Gracar: random geometric graphs, multi-scale analysis, stochastic geometry, statistical mechanics

Khoa Lê: rough stochastic analysis, stochastic (partial) differential equations, stochastic numerics

Ben Lees: statistical mechanics, classical and quantum spin systems, quantum computing

Amanda Turner: random growth models, scaling limits of stochastic models, complex analysis, mathematical physics

Jochen Voss: Monte Carlo methods in high/infinite dimensions

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.