Debasish Das
5 months ago
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PhD and Postdoctoral Research Associate in Applied and Computational Mathematics: Active Self-Propelled Helices University of Strathclyde in United Kingdom
Degree Level
PhD, Postdoc
Field of study
Mathematical Modeling
Funding
The PhD is fully funded for three years and supported by the Leverhulme Trust, covering home fee, international fee, stipend, and travel costs. The PDRA is a salaried fixed-term research post for 36 months, with salary range £37,694 - £46,049 FTE; it is available for two years initially with possible 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
University of Strathclyde, Department of Mathematics and Statistics, is advertising two research openings with Dr Debasish Das in applied and computational mathematics.
PhD opportunity: a fully funded three-year PhD on Active Self-Propelled Helices, supported by the Leverhulme Trust. The project studies electrically driven helical microswimmers and related active matter systems in three-dimensional viscous fluids. Research will combine analytical and computational work, including asymptotic methods, hydrodynamics, propulsion, interactions, partial differential equations, and numerical methods. International students are welcome to apply. Funding includes home fee, international fee, stipend, and travel costs.
PDRA opportunity: a three-year Postdoctoral Research Associate post in Applied and Computational Mathematics, also on the Active Self-Propelled Helices project. The role focuses on high-fidelity numerical simulations and computational modelling of self-propelled helices and related active matter systems in 3D fluids. The post is a fixed-term salaried research job, with a salary range of £37,694–£46,049 FTE, and is initially available for two years with possible extension to three years.
Eligibility highlights: PhD applicants should normally hold a first-class or upper second-class UK Honours degree (or overseas equivalent) in mathematics, engineering, physics, or a closely related area; a relevant Master’s degree, thesis work, and coursework in fluid mechanics, asymptotic methods, and numerical methods are desirable. PDRA applicants should have a PhD (or be close to completion) in Mathematics, Engineering, Physics, or a related discipline, with strong applied/computational mathematics skills and desirable experience in fluid mechanics, scientific computing, PDE numerics, finite element methods, or boundary element methods.
How to apply: use the official University of Strathclyde PhD advert or vacancy page, and send the requested documents by email for the PhD. The PDRA application closes on 11 June 2026. Informal enquiries can be directed to [email protected].
Research themes: fluid mechanics, active matter, scientific computing, mathematical modelling, hydrodynamics, numerical simulation, and microswimmer dynamics.
Funding details
The PhD is fully funded for three years and supported by the Leverhulme Trust, covering home fee, international fee, stipend, and travel costs. The PDRA is a salaried fixed-term research post for 36 months, with salary range £37,694 - £46,049 FTE; it is available for two years initially with possible 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, normally 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. A demonstrated interest in mathematical modelling, asymptotic methods, partial differential equations, and numerical computation is particularly valuable. For the PDRA, applicants should have a PhD (or be close to completion/pending award) in Mathematics, Engineering, Physics, or a closely related area, with a strong background in applied and computational mathematics; expertise in fluid mechanics, scientific computing, numerical methods for PDEs, and finite element and/or boundary element methods is desirable.
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Professors
Professor at University of Strathclyde
United Kingdom
Research Interests
Fluid Mechanics
Polymer Physics
Computational Mathematics
Electrohydrodynamics
Mathematical Modeling
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