Research opportunities
You can study for an MPhil over one year or a PhD over the course of three years.
MPhil & PhD
There are postgraduate research opportunities in all of our five research groups:
- Applied Analysis
- Continuum Mechanics & Industrial Mathematics
- Numerical Analysis and Scientific Computing
- Population Modelling & Epidemiology
- Stochastic Analysis
MRes
You can study an MRes in:
- Mathematical Sciences
Postgraduate Certificate in Researcher Professional Development (PG Cert RPD) programme
As part of your PhD degree, you'll be enrolled on the Postgraduate Certificate in Researcher Professional Development (PG Cert RPD).
This certificate is designed to support you with your research and rewards you for things you'll do as a research student here.
It'll help you improve skills which are important to professional development and employability:
- the knowledge and intellectual abilities to conduct your research
- the personal qualities to succeed in your research and chosen career
- the standards, requirements and conduct of a professional researcher in your discipline
- working with others and communicating the impact of your research to a wide range of audiences
All you have to do is plan these activities alongside your doctorate, documenting and reflecting your journey to success along the way.
Find out more about the PG Cert RPD programme.
EPSRC Centre for Doctoral Training in Future Power Networks & Smart Grids
Are you interested in addressing the global energy challenge? The EPSRC Centre for Doctoral Training in Future Power Networks & Smart Grids - a partnership between Strathclyde and Imperial College - has 10 funded four-year PhD studentships on offer.
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fundedEPSRC Centre for Doctoral Training in Wind & Marine Energy
Are you interested in the application of renewable energy technology and policy? The EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems - a partnership between Strathclyde and the University of Edinburgh - has 10 funded four-year PhD studentships on offer.
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fundedPhD Automatic annotation of subsea survey video and auxiliary data for the Oil & Gas Industry
A 42-month full-time, fully-funded PhD, offered by the Institute of Sensors, Signals and Communications of the Department of Electronic & Electrical Engineering, in collaboration with the industry partner N-Sea in the area of deep learning video analytics focusing on annotation of subsea survey data.
Deadline:
30 April 2018Funding:
fundedPhD New Hyperspectral Imaging Processing Techniques to Detect the Early Onset of Plant Disease
A 36-month full-time, fully-funded PhD, supported by the University of Strathclyde, focusing on developing new Hyperspectral Imaging Data Processing Techniques for the agri-tech sector.
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30 June 2018Funding:
fundedPhD Power Systems Dynamic Security Assessment using machine learning.
This 42-month full-time, fully-funded PhD, supported by EPSRC focusing on the area of power system stability and dynamics using powerful machine learning tools that enable informative and fast online dynamic security assessment.
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30 April 2018Funding:
fundedImproving models of spatial correlation of earthquake ground motions
The aim of this project is to develop improved models predicting how earthquake ground motions vary spatially. These models are important for modern earthquake risk assessments, especially of civil engineering lifelines (e.g. road, water and power networks).
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fundedDirect numerical simulation of polymeric-fluid flows
The purpose of this project is to apply a formulation to polymeric turbulent boundary layer flows and, in this way, to make some first, yet decisive, steps in the physics and algorithmics of fully-coupled polymeric boundary layer turbulence.
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fundedDirect Numerical Simulation of Ferrofluid flows
The project aim is to investigate particle-flow interactions in ferrofluids in both mesoscopic and macroscopic domains, paying equal emphasis on particle aggregation and structure formation and their possible effects on turbulence structures in flows through pipes and other devices.
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fundedModelling the effect of the electric double layer on electron transfer kinetics
This project will combine recent theories for the influence of charge correlations on the structure of the electric double layer with a simple quantum description of charge transfer to to develop a new model for electrochemical reactions.
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unfundedDeveloping a multiscale description of complex fluids from the molecular to the continuum scales
This ambitious project attempts to build a single, unified description of complex fluids that incorporates molecular-level detail but can be applied on a wide range of length and time scales that extends to the continuum scale.
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unfundedNovel Preconditioned Iterative Methods for Radial Basis Linear Systems
This project will develop effective solvers for linear systems in these RBF methods. In particular, we will focus on certain iterative methods (Krylov subspace methods) that start with an initial guess of the solution that is improved at each step.
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unfundedMathematical Modelling and Analysis of Thin-Film Flows
The proposed project will use a variety of analytical and numerical methods to bring new understanding into a range of real-world problems involving thin films of both simple and complex fluids.
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unfundedIterative preconditioners for time-harmonic heterogeneous electromagnetic problems
The underlying mathematical model in this case is Maxwell’s equations - according to applications it can take two different forms (time-domain and time-harmonic).
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unfundedMicrofluidics
In recent years there has been an explosive growth of interest in the behaviour and control of fluids at small (typically sub-millimetre) scales motivated by a range of novel applications including ink-jet printing and lab-on-a-chip technologies.
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unfundedHow and Why of Matrix Balancing
Matrix balancing aims to transform a nonnegative matrix A by a diagonal scaling by matrices D and E so that P = DAE has prescribed row and column sums. Historical motivation for achieving the balance has included interpreting economic data, preconditioning sparse matrices and understanding traffic circulation.
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unfundedMathemaiical modelling of active fluids
This project will use the theories of liquid crystal fluids to model self-organisation and pattern formation in an active fluid - a type of liquid containing active organisms which interact with the fluid by swimming.
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unfundedFlow of groundwater in soils with vegetation and variable surface influx
This project will use mathematical models of soil water and the growth of plants. Even for plants with complicated root densities we will look for analytical solutions of the models to help understand plant growth.
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unfundedNumerical Methods for SDEs under the Local Lipschitz Condition
The aims of this PhD is to develop the truncated EM method are to study the strong convergence in finite-time for SDEs under the generalised Khasminskii condition and its convergence rate and to investigate the numerical stability of the nonlinear SDEs.
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unfundedStochastic Modelling of Saving Accounts Linked to Stock Market
This project is to perform the stochastic and numerical analysis on the stock market linked savings accounts in order to establish the theory on the mean percentage of return (MPR).
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unfundedTime-dependent Scattering Problems
Time dependent wave propagation and scattering is important in acoustics, electromagnetics and seismology.
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fundedA tensor network approach to the quantum many body problem
A shared PhD between Strathclyde and ICFO that will address collective emergence in the framework of quantum many-body systems described through tensor networks.
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fundedWetting and Microfluidic Flow of Liquid Crystal Droplets
Liquid crystals are at the heart of many cutting-edge technologies. Their potential is far from being exhausted as new areas of application emerge constantly. This project will focus on fundamental aspects in the domain of wetting and microfluidics of liquid crystal droplets.