Applied Mathematics

Particle methods for plasma physics

University of Leeds

School of Mathematics

Location
Leeds, United Kingdom
Funding
See university guidance
Application deadline

Key facts

A plasma is an ionized gas with positively and negatively charged particles (ions and electrons). One promising method of generating electricity with nuclear fusion uses tokamak reactors filled with an extremely hot plasma, similar to what happens inside the Sun. A strong magnetic field keeps the plasma away from the reactor walls. This shows the importance of simulating a plasma in an electromagnetic field.

One approach is to use particle methods: write down the equations of motion of the particles inside the plasma and couple them to Maxwell's equations for the electromagnetic field. The standard method for this has only moderate accuracy (it is second order). Past research on numerical methods for solving these differential equations established that it is possible to improve the accuracy in time, but that to get maximal benefit from this, the accuracy in space should also be improved.

The aim of this project is to implement a method with high spatial accuracy, combine it with our accurate time stepper, and test the combined algorithm to see in what circumstances the improved accuracy is beneficial. This project requires some prior knowledge of numerical methods for both ordinary and partial differential equations and solid programming skills. An interest in plasma physics and high-performance computing are also needed.

To apply for this project you will need to make a formal application for research degree study through the University website. You will need to create a login ID with a username and PIN.

• For Application type please select Research Degrees – Research Postgraduate.

• The admission year for this project is 2027/28 Academic Year.

• You will need to select your Planned Course of Study from a drop-down menu. For this project, scroll down and select PHP Applied Mathematics Full Time.

• The project start date for this project is 1 October 2027, please use this as your Proposed Start Date of Research.

• Please state clearly in the Research Information Section that the research degree you wish to be considered for is Particle methods for plasma physics as well as Jitse Niesen as your proposed supervisor.

Please state clearly in the Finance section, the funding that you are applying for, if you are self-funding or externally sponsored.

More information on how to apply is available on our website here. You will be required to provide a personal statement which outlines your interest in the project you are applying for, why you have chosen it and how your skills map onto the requirements of the project.

We will assess applications continuously as we receive them. We welcome and strongly encourage any potential applicants to contact the supervisor(s) for an informal discussion, prior to applying, and recommend submitting your application early.

If you are applying with external sponsorship or you are funding your own study, please ensure you provide your supporting documents at the point you submit your application:

Full Transcripts of all degree study or if in final year of study, full transcripts to date including the grading scheme

Personal Statement outlining your interest in the project

If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).

As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.

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.

This is a non funded PhD project. Applicants are expected to be self funded or to secure external funding.

You can find out more about our Funding Opportunities on our Postgraduate Research Opportunities website.

Important: Please note that all costs associated with your arrival at Leeds (visa, Immigration Health Surcharge, flights etc) would have to be met by yourself, or you will need to find an alternative funding source.

For further information about your application, including how to apply, please contact PGR Admissions by email to epspgradmissions@leeds.ac.uk

For questions about the research project, please contact Jitse Niesen by email to j.niesen@leeds.ac.uk

  • Type of research degree: PhD
  • Application deadline: Monday 31 May 2027
  • Project start date: Friday 1 October 2027
  • Country eligibility: International (open to all nationalities, including the UK)
  • Funding: Non-funded
  • Supervisors: Dr Jitse Niesen
  • Schools: School of Mathematics
  • Research groups/institutes: Applied Mathematics, Applied Nonlinear Dynamics

Research areas

Applied MathematicsMathematicsmathematics

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