Postgraduate research opportunities Modelling, analysis and simulation of magnetoelastic materials

Apply

Key facts

  • Opens: Tuesday 14 June 2022
  • Number of places: 1
  • Duration: 3 years
  • Funding: Home fee, Stipend

Overview

Magnetoelastic materials, materials that can change shape in response to applied magnetic fields, play a fundamental role in many mechanical and biomedical applications. The aim of this exciting project is to advance the mathematical understanding of this class of materials using analytical and computational tools.
Back to opportunity

Eligibility

Applicants should have, or be expecting to obtain in the near future, a first class or good 2.1 honours degree (or equivalent) in mathematics or in a closely related discipline with a high mathematical content. Programming skills and some knowledge of analytical and numerical methods for the solution of partial differential equations are desirable.

THE Awards 2019: UK University of the Year Winner
Back to opportunity

Project Details

A fully funded three-year PhD studentship (starting on 1 October 2022) is available in the Department of Mathematics and Statistics of the University of Strathclyde (Glasgow, United Kingdom).

Magnetoelastic materials, materials that are capable to change shape in response to applied magnetic fields, play a fundamental role in a variety of technological devices. However, despite their impressive use in applications, their thorough mathematical understanding is still in its infancy. The aim of the project is to advance the mathematical understanding of magnetoelastic materials with a particular focus on the design, rigorous convergence analysis and implementation of effective approximation methods to perform reliable numerical simulations. Another focus of the project is on the derivation of appropriate dimensionally reduced models to deal with practically relevant geometries (such as magnetoelastic films and wires).

This is a very exciting project which will allow the student to work at the interface between mathematical modelling, mathematical analysis and computational mathematics with applications firmly in sight.

Further information

The student will be a member of the Analysis group (Theme: Numerical Analysis) of the Department of Mathematics and Statistics. The project will provide training in mathematical modelling, calculus of variations, partial differential equations, numerical analysis and scientific computing, thus equipping the student with highly desirable skills for working in either academia or industry. Further training will be provided for giving research talks, writing scientific papers and using computational software. Participation in seminars, workshops and conferences as well as research visits to the international collaborators will be strongly encouraged.

Back to opportunity

Funding details

The studentship will fund the annual Home tuition fees and a tax-free stipend for three years. The stipend rates are announced annually by UKRI. For the 2022/23 academic year the annual UKRI stipend will be £16,062.

Back to opportunity

Supervisors

Dr Michele Ruggeri

Strathclyde Chancellor's Fellow
Mathematics and Statistics

View profile
Professor Victorita Dolean Maini

Mathematics and Statistics

View profile
Back to course

Apply

Number of places: 1

To read how we process personal data, applicants can review our 'Privacy Notice for Student Applicants and Potential Applicants' on our Privacy notices' web page.

Mathematics and Statistics - Mathematics

Programme: Mathematics and Statistics - Mathematics

PhD
full-time
Start date: Oct 2022 - Sep 2023

Mathematics and Statistics - Statistics

Programme: Mathematics and Statistics - Statistics

PhD
full-time
Start date: Oct 2022 - Sep 2023

Back to course

Contact us

Informal enquiries should be sent to Dr Michele Ruggeri (michele.ruggeri@strath.ac.uk).