Debasish Das
6 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Fully Funded PhD and PDRA in Mathematical and Computational Modelling of Electrically Driven Helical Microswimmers University of Strathclyde in United Kingdom
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The PhD position is fully funded for three years and is supported by the Leverhulme Trust. The PDRA position is funded by the Leverhulme Trust and is available for two years in the first instance, with the possibility of extension to three years subject to satisfactory performance.
Deadline
Expired
Country
United Kingdom
University
University Of Strathclyde
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Keywords
About this position
Applications are invited for two openings in the Department of Mathematics and Statistics at the University of Strathclyde, Glasgow: a fully funded three-year PhD position and a three-year PDRA position. The project is supported by the Leverhulme Trust and focuses on the mathematical and computational modelling of electrically driven helical microswimmers and related active matter systems.
The research sits at the interface of applied mathematics, fluid mechanics, scientific computing, and mathematical modelling. The PhD will involve theoretical and computational work, including asymptotic methods, hydrodynamics, partial differential equations, and modelling of propulsion and interactions in viscous flows. The PDRA will focus on high-fidelity numerical simulations and computational modelling of self-propelled helices in three-dimensional fluids.
For the PhD, suitable applicants should have a strong background in mathematics, engineering, physics, or a closely related area, with a first-class or upper second-class UK Honours degree or overseas equivalent. A relevant Master’s degree, a thesis on a related topic, and coursework in fluid mechanics, asymptotic methods, and numerical methods are desirable. International students are welcome to apply.
For the PDRA, applicants should have a good honours degree and a PhD (or equivalent professional experience) in an appropriate discipline such as mathematics, engineering, or physics. Strong experience in applied and computational mathematics, fluid mechanics, scientific computing, numerical methods for PDEs, and finite element and/or boundary element methods is desirable. Recent PhD graduates, postdoctoral researchers, and candidates close to PhD completion may apply.
Funding: the PhD is fully funded for three years; the PDRA is funded by the Leverhulme Trust and is available for two years initially, with possible extension to three years. There is no official closing date for the PhD and applications remain open until the position is filled. The PDRA university advert will be posted soon, with interviews expected around mid-June 2026.
How to apply: PhD applicants should email a CV, transcripts, two referees’ names, and thesis materials, and arrange for two reference letters to be sent to the contact email. PDRA applicants should watch for the official university advert and follow the formal application procedure once available.
Funding details
The PhD position is fully funded for three years and is supported by the Leverhulme Trust. The PDRA position is funded by the Leverhulme Trust and is available for two years in the first instance, with the possibility of extension to three years subject to satisfactory performance.
What's required
For the PhD, applicants should have a strong Bachelor's degree in mathematics, engineering, physics, or a closely related area, with a first-class or upper second-class UK Honours degree or overseas equivalent. A Master's degree in a relevant field is desirable, as is a Bachelor’s thesis on a relevant topic and intermediate or advanced coursework in fluid mechanics, asymptotic methods, and numerical methods. For the PDRA, candidates should have a good honours degree and a PhD (or equivalent professional experience) in mathematics, engineering, physics, or a closely related discipline, with a strong background in applied and computational mathematics, especially fluid mechanics, scientific computing, numerical methods for PDEs, and finite element and/or boundary element methods. Publications in relevant areas are desirable. International students are welcome to apply for the PhD.
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Professors
Professor at University of Strathclyde
United Kingdom
Research Interests
Fluid Mechanics
Polymer Physics
Computational Mathematics
Electrohydrodynamics
Mathematical Modeling
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.