Postgraduate research & PhD opportunities

An opportunity to join Maritime Human Factors Centre at the University of Strathclyde as a fully funded PhD student. The scholarship covers UK ‘home’ student fees and stipend.

A three year PhD investigating the efficiency of transient non-thermal plasma discharges for different environmental applications is offered by the High Voltage Technologies (HVT) Research group within the Institute for Energy & Environment.

UKRI EPSRC are funding FUSE CDT, based in the universities of Glasgow and Strathclyde with >30 industrial partners covering a broad range of application areas. There are 10 four-year research studentships available for a September 2021 start.

This is an exciting 4 years fully-funded PhD, supported by EPSRC through FIND CDT focusing on the robotic deployment of electromagnetic and acoustic sensors for non-destructive evaluation of additively manufactured (AM) components during the manufacturing process.

The aim of this project is to take LiFi technology to the next level by designing ultra-high-speed, laser-based optical wireless communication receivers for sixth generation (6G)-and-beyond wireless systems with aggregate data rates of terabit/s (Tb/s).

The aim of this project is to take LiFi technology to the next level by designing ultra-high-speed, laser-based optical wireless communication transmitters for sixth generation (6G)-and-beyond wireless systems with aggregate data rates of terabit/s (Tb/s).

This is a three-year industry-funded PhD project focussed on the design, build and testing of novel power electronic converter systems. It is offered by the department of Electronic and Electrical Engineering at Strathclyde University, and funded and supported by a global technology partner.

This fully-funded PhD offers an exciting opportunity to undertake research on the development of a low cost, modular sensor platform for intelligent offshore wind foundation monitoring.

A fully-funded 4-year industrial CASE PhD studentship is offered by the Department of Civil and Environmental Engineering at the University of Strathclyde, Glasgow and RWM Ltd., a public organisation established by government and responsible for planning and delivering geological disposal in the UK.

This project focuses on understanding the long term chemical alteration and stability of a cement (NRVB) backfill material used in GDF, at the temperatures reached in the facility. This is important to improving and developing the safety case for deep geological disposal of radioactive waste.

This project will use a combination of 2D X-ray diffraction and scattering, 3D/2D imaging and supporting analytical measurements to determine how the cements microstructure and porosity/permeability have developed over 10 years of hydrothermal ageing.

This four-year PhD study will address several key areas of knowledge on flow forming.

Filtration and washing of pharmaceutical products is classically undertaken empirically. This project will use nano-computed tomography (nano-CT), a high-resolution cross-sectional imaging technique to track the progress of washing at high resolution in real time.

This modelling and simulation study will investigate the complex processes that occur when foam, rather than water, is used as a carrier for fibres during papermaking, with a view towards reducing the overall water footprint of the paper production process.

This project aims to develop a new computational tool, combining molecular simulations and machine learning approaches, to predict the solubility of complex pharmaceutical molecules in a variety of solvents.

Focussed on the development of novel sorption systems for water remediation, the project combines materials development, characterisation and testing for a range of pollutants, including pharmaceuticals and heavy metal species.

The project aims to address the issues related to low capacity and poor kinetics of sorbents used for post combustion carbon dioxide capture applications.

The proposed project aims to develop new technology for reforming syngas hydrocarbons to promote hydrogen production from biomass, it addresses the issues of global importance, which are committed to making a useful and positive contribution to clean energy challenges locally and globally.

This project will undertake studies on the processes and technology required to convert biomass waste into a range of hydrocarbons. This research project requires both modelling and experimental studies to analyse the waste to energy process and the fuel properties of hydrocarbons and chemicals produced.

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.

Many applications rely on structured films and membranes, such as selective filters, adsorbents, and biological systems. The project will use computer modelling to analyse how particles with complex interactions aggregate to form films with complex structure and complex time-evolution.

The project will focus on the applications of latest Small-angle X-ray scattering system in CMAC (EPSRC Centre of excellence in continuous manufacturing and crystallisation) to provide mechanistic understanding of interparticle interaction in dense system under repulsive or attractive interactions.

This work will use a combination of machine learning and molecular thermodynamic modelling to develop a methodology to efficiently develop accurate mathematical representations of the thermodynamics of complex multicomponent mixtures, with a focus on the pharmaceutical industry.

This project will develop improved theories of electrochemical reactions by combining recent advances in the description of the electric double layer with those in electron transfer kinetics.

This project aims to develop a new multi-scale simulation model to describe the entire synthesis process of bio-inspired silica materials. The model will then be used to design an ideal material for carbon capture applications.

This modelling and simulation study will investigate processes that occur when foam injection is used to displace fluids from an oil reservoir, and in particular what happens as the foam front changes direction as additional injection wells are brought online.

This project will investigate behavioural and performance characteristics of students when working in Problem-Based and Enquiry-based learning activities in order to elucidate the link between the use of these approaches and the development of learner’s autonomy.

This project aims to develop next-generation waste valorisation and waste-to-energy approaches for organic waste treatment using a lab-scale experimental approach and mathematical models.

To enhance equitable energy access and reduce global emissions from energy generation, this project will focus on developing a clean energy technology based on waste utilisation and thermochemical conversion (e.g. gasification, combustion, pyrolysis or hybrid) approaches.

Quantum Chemistry and Molecular Dynamics calculations will be carried out to explore the mechanism and kinetics of lignocellulosic biomass processing and the conversion of waste into valuable products.

In this project, an integrated system will be designed and developed to ensure efficient generation of liquid transportation fuels whilst maximising the value of biomass into value-added chemicals by controlling structure and functionality as they form.

The project involves the development of a pilot scale reactor with instrumentation that will enable the interrogation and optimisation an electroforming process. Both scientific and statistical techniques will be employed to interpret process data enabling process control.

This project aims to develop embedded optical fibre sensors for polymer electrolyte membrane fuel cells to characterise catalyst degradation mechanisms under realistic operating conditions.

Redox flow batteries conventionally employ toxic and corrosive transition metals such as vanadium. This project will develop neutral aqueous organic redox electrolytes suitable for high performance flow batteries with benign chemical properties in terms of safety, cost and end-of-life recycling.

This PhD project will explore the design, characterisation and application of exsolved materials for power-to-X energy conversion devices where X can be fuels, chemicals, heat or power, all essential for transitioning to a clean, sustainable energy economy.

This PhD project will develop reversible solid oxide cells based on a newly discovered class of materials, so called exsolved or emergent materials.

The project will investigate Machine Learning and Deep Learning approaches to extract and fuse multiple data streams from multi-sensor setups in chemical and pharmaceutical manufacturing through a combination of experimental work, data analytics and process simulation.

The project will explore the use of hybrid models that combine the advantages of data-driven and physics-based first principles models to enhance the performance of current models for crystal nucleation and growth in chemical and pharmaceutical manufacturing.

This research will investigate the effect of supported nanopaticles size on the reactivity of nanocomposite materials in heterogeneous reactions. The fundamental questions are how the reactivity scales with the nanoparticles size and whether the stoichiometry of the reaction is affected.

This projects involves the application of laser imaging techniques to study soot formation. The particular interest is in flames where hydrogen is blended with hydrocarbon fuel. The ultimate goal is improved understanding (and thus minimisation) of pollutant formation.

The research is a co-operation with researchers at California Institute of Technology, and will pioneer superfluid flow-structure interactions with are of key importance in technological and astronomical applications.

We will develop an innovative technique to study crystal nucleation, using an optical tweezer to generate a localized shear flow in a crystallizing solution, thus triggering nucleation in a known position enabling direct measurement of the growing nucleus.

This PhD project will explore the design, characterisation and application of new materials for electrochemical power-to-X conversion (X = fuels, chemicals) devices essential for transitioning to a clean, sustainable energy economy.

Mass manufacture of fuel cells and electrolysers requires advanced characterisation tools for rapid inspection of critical components. This project will develop and test a prototype electrochemical, optical and thermally instrumented test cell for electrode characterisation in a production line environment.

Employ finite volume solvers for turbulent and creeping flows in conjunction with stochastic differential flow solvers to model directly mesoscopic and macroscopic ferrofluid flows.

This project aims to apply molecular simulation methods to study gas separation from mixtures containing water in novel Metal-Organic Framework (MOF) materials. New molecular models will be developed to improve adsorption predictions with application in carbon capture from humid streams.

The project will explore the use of Machine Learning for the analysis and fusion of data from multiple sensors in agricultural applications. Satellite and drone multispectral imagery together with ground sensors will inform decision support tools for advanced farm management.

In this project, the student will be involved in an industrial funded project to develop and use spatially offset Raman spectroscopy (SORS) and spatially resolved diffuse reflectance spectroscopy (SR-DRS) for obtaining insight into sub-surface powder drying behaviour.

Research will investigate sustainable urban development (SUD) strategies, involving international comparative research with a strong policy focus.

As part of its longstanding commitment to growing its population of excellent postgraduate researchers, the University is offering a number of Global Research Awards. These awards will cover the full tuition fee for International and UK postgraduate research students, with a start date of 1 October 2021. The awards will apply for each year of study, up to a maximum of three years for full-time study or six years for part-time study.

Ion mobility mass spectrometry will be used to characterise an intrinsically disordered protein that is involved in cancer. Screening methods will be developed to identify small molecules that affect the behaviour of the protein, to be used as chemical probes for its validation as a suitable drug target.

You will work under the supervision of Dr Fraser J Scott to investigate an aspect of Science Education Research. This will likely be on a topic involving the overlap of Science and Mathematics education, but the specific topic is open for discussion.

You will work under the supervision of Dr Fraser J Scott to investigate Strathclyde Minor Groove Binders in combination with existing antibiotics. Experimental work will involve in vitro susceptibility testing, toxicity testing, and mechanism of action studies on clinical isolates.

You will work under the supervision of Dr Fraser J Scott to develop Strathclyde Minor Groove Binders as anti-infective agents. Experimental work will include organic chemistry, but also biochemical (enzyme assays), biophysical (UV-vis, NMR) and biology (in vitro activity) aspects.

This PhD involves the development of analytical methods and their application to investigate the behaviour of microplastic pollutants in the environment. Laboratory and field studies will be used to assess the ability of microplastics to transport potentially toxic elements in terrestrial systems.

The student will investigate and quantify structure/reactivity relationships in nickel catalysis using a range of techniques including organic/organometallic synthesis, physical organic chemistry, and density functional theory, as appropriate.

Developing novel methodologies for portable detection of a variety of illicit substances including but not limited to drugs of abuse, explosives, gunshot residue and / or screening of bodily fluids at crime scenes.

Developing novel methodologies for portable, rapid, point-of-care detection of a variety of biomedically relevant markers for use in biomedical diagnostics

This project will investigate Raman scattering and its variations (surface enhanced (SERS) and stimulated (SRS)) to assess cancer cells and tissue prior to and following treatment with conventional anticancer drugs and particularly new alternative drugs that have shown promise as anticancer agents.

Some enzymes catalyze atom transfer radical polymerizations (ATRP). They represent an environmentally friendly and non-toxic alternative to conventional catalysts. To unlock the potential of bioATRP, advanced polymerization techniques such as electrochemically mediated ATRP and flow chemistry will be investigated.

The discovery of new medicines to treat disease requires the identification, understanding and validation of biological pathways and targets. This project resides in the Healthcare technologies theme, aligning with the growth area of Chemical Biology and the areas of Analytical Science and Synthetic Organic Chemistry.

The aim of this project is to address the challenge of directly detecting disease biomarker panels in serum featuring target species whose relative concentrations span many orders of magnitude.

Design and application of new conjugated polymer photocatalysts for light-driven conversion of carbon dioxide into useful chemical intermediates.

The prospective student will work with Dr Fraser Scott to develop new treatments for leishmaniasis using the novel class of anti-infective agents, Strathclyde Minor Groove Binders. This will involve a combination of synthetic chemistry, biophysical measurements and biological evaluation.

This PhD project will investigate the chemical interactions between microplastics, soil/sediment, and potentially toxic elements (PTE) through laboratory and field experiments. It will involve aspects of analytical, physical and environmental chemistry.

This project will explore new methods for directed meta-C-H activation to deliver complementary, flexible, and powerful methods to access a variety of pharmaceutically desired organic products and isotopically labelled late stage candidate-type molecules.

This project will specifically expand upon Professor Kerr’s iridium-based catalysts for application in a portfolio of important transformations in organic synthesis and of direct relevance to the pharmaceutical industry.

In collaboration with GlaxoSmithKline we have an opportunity to develop novel, green and sustainable synthetic methods of relevance to the pharmaceutical industry.

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.

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.

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.

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.

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.

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).

Time dependent wave propagation and scattering is important in acoustics, electromagnetics and seismology.

The purpose of this project is to conduct a comprehensive extraction and synthesis of all the relevant data for demersal fish species in the Firth of Clyde.

There is currently great interest in self-rewetting fluids whose surface tension exhibits a local minimum with temperature. The aim of the project is bring new insight into the understanding of these novel fluids, and hence to harness the properties of droplets of such fluids in a range of technological applications.

Many problems are described by partial differential equations that are too difficult to solve analytically. Numerical solutions must be used, which typically require the solution of linear systems. This project will look at how to solve these linear systems efficiently.

Study permutation tableaux such as the Le- and EW-tableaux, their connections to Abelian Sandpile Model and Asymmetric Exclusion Processes, and the connection between these two models afforded by the tableaux.

Graph representations became crucial with the advent of the computer era for storing graphs in computer memory. However, graph representations, e.g. those involving patterns in words, are also useful in solving problems on graphs as they may allow transferring a graph problem to that on other objects hence solving it.

To ensure that a person taking any route in a city has the same experience, e.g. seeing a city map, we need methods to cover the routes without over-deploying resources. We will use tools in Graph Theory and Combinatorics to optimally deploy resources across a city to have maximum effect on those navigating it.

Liquid crystals are fluids that show local orientational order. The interplay between orientation and flow in these substances is very intricate and can lead to interesting macroscopic phenomena, many of which are not yet fully understood. This project will study such phenomena using mathematical and numerical models.

The goal of this project is the exact enumeration of classes of permutations that can be plotted on monotone curves in grids. At present, an effective procedure is only known for so-called “skinny” classes. The general problem is challenging because permutations have multiple ways of being plotted on the curves.

Effective methods have been derived for dividing a network into coherent communities using spectral information obtained from the network. Biclustering has received far less attention. We will develop new methods and analysis for this problem, starting from recent work using a bistochastic representation of a network.

The goal of this project is to explore fundamental structural questions concerning sets of permutations that avoid a single pattern. The study of these combinatorial objects was initiated by Donald Knuth in the 1960s when he investigated which permutations could be sorted by being passed through a stack.

The aim of this project is the generalise the existing molecular-statistical theory of elasticity of nematic liquid crystals to the case of bent-core nematics, composed of biaxial and polar molecules, using the preliminary results obtained in recent years.

The aim of this project is to develop a molecular-statistical theory of chirality transfer in cholecteric nanorod phase, determined by steric and electrostatic chiral interactions, and quantitatively describe the variation of helix pitch as a function of rod length, concentration, dispersity and temperature.

We are looking for PhD Students interested in making search engines (and machine learning in general) fairer, more transparent and explainable.

The aim of this interdisciplinary project is to understand the best mechanisms for victims of cybercrime to accurately and usefully report it, and to improve reporting rates. This will involve working with law enforcement data and officers, and with victims. A background in Computer Science or Criminology is required.

This project is focused on developing and applying next generation detectors for the scanning electron microscopy techniques of electron backscatter diffraction (EBSD) and electron channelling contrast imaging (ECCI).

A project to develop and use a new super-resolution optical microscope to obtain very high spatial resolution images of fluorescently labelled live cells.

Motivated PhD candidates, ideally with a background in laser and/or beam driven plasma wakefield acceleration are required to help lay the foundations in the quest towards 5th generation light sources and ultra-compact electron accelerators - the time-resolved microscopes of the 21st century.

In this PhD project – funded by the Leverhulme Trust and in collaboration with Dr. Sonja Franke-Arnold at the University of Glasgow – you will demonstrate storage and processing of OAM information in a rubidium vapour.

PhD position available to undertake frontier research in nanotechnology of noble metal nanoparticles.

An EPSRC funded studentship in theoretical quantum information, specifically the relationship between decoherence, non-classicality, and the efficacy of quantum information tasks.

This PhD project aims to develop a comprehensive suite of tools and techniques that will enable superresolution imaging of nanodiamonds in living tissue, with a particular emphasis on imaging neurons.

The project develops, optimises, and strategically compares accurate mathematical models for the generation of frequency combs in micro-resonators in a close connection with the experiments performed at NPL in Dr Del'Haye's laboratory.

A fully-funded PhD studentship is available in high power laser-plasma physics, working within a vibrant team of experimentalists and theoreticians, to investigate the onset of a new regime of high-field relativistic plasmas.

PhDs are available in an exciting and challenging research area, with a vibrant group of experimentalists and theoreticians developing and applying ultra-compact accelerators and x-ray sources based on laser-plasma interactions.

The project will study the properties of amplifying and nonlinear films both analytically and numerically. Collaboration with an experimental team at the University of Glasgow will also be exploited.

This project involves different microscopic techniques to investigate semiconductor heterostructures and light-emitting diode devices, performed on our suite of scanning electron microscopes, providing information on material properties at length scales ranging from nanometres to centimetres.

This PhD will investigate novel ways to laser cool two-electron atoms all the way to Bose-Einstein condensation – to provide new insight into the formation of condensates, and potential applications in precision measurements.

A fully-funded position to undertake research in the ground-breaking field of quantum sensing and measurement, after the first year specialising in Magnetometry.

A fully-funded position to undertake research in the ground-breaking field of quantum sensing and measurement, after the first year specialising in Atomic Clocks.

A fully-funded position to undertake research in the ground-breaking field of quantum sensing and measurement, after the first year specialising in Atom Interferometry.

We focus on new nonlinear regimes with input powers so low that they enable all-optical processing and the exploitation of the fundamental advantages of quantum technologies at the nanoscale.

This project will develop chip scale optoelectronic systems through the 3-dimensional printing of nanoscale building block components such as nanolasers and thin film electronics.

Diamond is an exciting and enabling material of laser engineering. This project will aim to exploit diamond directly as a laser gain material so as to fully exploit its excellent thermal and mechanical properties.

Advances in microscopy allow imaging on scales ranging from single molecules to whole organism. This project involves developing a microscope that will allow images of whole invertebrates (likely C. Elegans nematode worms) be correlated with nanoscopic (super-reolution) images of sub-cellular regions within them.

We invite outstanding and motivated students to join our team, for research on ultracold atoms in optical lattices. We use a quantum-gas microscope to measure the dynamics of ultracold fermions at the single atom level.

This project is focussed on advanced modern image analysis and pattern recognition methods to study the microscopy and spectroscopy of semiconductor structures and devices. Developing automated and robust methods to look at images and video will revolutionise this area.

We explore nonlinear quantum regimes of the coupling between light and matter for ultra-low power micro and nano-lasers. These are promising candidates to achieve high efficiency, high speed, and a small footprint.

Two PhD positions for UK and EU students are available funded by University of Strathclyde and collaboration partners to work on laser-plasma based particle accelerators and plasma photonics for high power lasers via theory and large scale of numerical simulation.

In this project we will investigate various approaches for on-demand engineering of trapped spin states in charged quantum dots through a series of coherent control experiments that will explore how the different approaches affect the performance of all optically operated universal single qubit gates.

This project in quantum optics will analyse practical quantum radar and lidar scenarios with realistic detectors in a jamming/spoofing environment.

This project focuses on the realisation of quantum phenomena in commercially-compatible electronic devices, such as transistors and diodes in silicon carbide. The main goal is to couple electron spins to electromagnetic radiation, in order to manipulate and read quantum states.

Gallium oxide is an emerging semiconductor offering promises for applications in ultraviolet optical devices. The project aims to improve our understanding of the material, elucidate the mechanisms leading to its optical properties, and exploit the findings to produce better devices.

This project will develop new numerical techniques for studying many-body quantum systems far from equilibrium, exploring the possible phase transitions which can be realised.

This experimental project will investigate the quantum properties of the frequency combs generated via parametric processes in integrated platforms (waveguides and microresonators). The student will work on the generation, characterisation and applications of highly entangled cluster states.

Modelling of laser light propagating in micro-ring resonators in collaboration with experiments performed at the Max Planck Institute for the Science of Light in Erlangen (Germany). Applications of these devices are in atomic clocks, quantum technologies, telecommunication, GPS and integrated photonic circuits.

Free-Electron Lasers (FELs) use electron beams produced by particle accelerators to generate intense electromagnetic radiation from microwaves into the hard X-ray, which is of particular interest to a wide range of users. This project will look at developing new types of FEL output further enhancing their applications.

Wide bandgap semiconductors are vital materials for applications in ultraviolet optoelectronic devices. The project will investigate the photoconduction properties of several wide bandgap semiconductors, with a particular focus on corundum phase alpha Gallium Oxide (α-Ga2O3).

The advance of integrated electronics for the control and readout of semiconductor quantum devices will be the focus of this experimental project. The student will develop both classical and quantum hardware and will characterise it at cryogenic temperatures.

Micro-LED technology offers high-resolution displays with an unprecedented nanosecond time response. In this project, we will develop sophisticated pattern-projection systems based on custom micro-LED displays and explore their applications in quantum-enhanced imaging using single-photon detection.

This PhD project will develop neuromorphic (brain-like) photonic systems built from semiconductor lasers and other advanced optical components, capable of performing complex data processing tasks at ultrafast speeds, for use in Artificial Intelligence functionalities (e.g. image processing, pattern recognition).

Design, micro-fabrication and characterisation of on-chip optical circuits in the visible spectral region. Efficient photon generation and manipulation targeting quantum optical applications.

The student will design and fabricate nanoscale systems for quantum applications using state-of-the-art 3D assembly tools, nano-accurate microscopy and will measure the devices in optical laboratories.

The development of quantum electronics in silicon carbide will be the main focus of this project. Through a balanced mix of academic and industrial research activities, the student will design, manufacture and test novel electronics relevant to the nascent fields of quantum computing and quantum sensing.

This project will develop remote Raman spectroscopy systems based on digitally interfaced Gallium Nitride light-emitting diodes and silicon single-photon avalanche diodes.

This project will pioneer assemblies of colloidal semiconductor nanocrystals and their combination with gallium nitride optoelectronics for novel forms of lighting, visible light communications and miniature lasers.

Neuroscience, Neurotechnology, Ageing, Machine Learning

Immunology, infection, diabetes, mast cells, autoimmunity, obesity Cellular Basis of Disease

The student will have the opportunity to learn a wide range of multidisciplinary techniques: synthesis and characterization of the nanomedicines, cell culture, in vitro analysis techniques (cytotoxicity assay, confocal microscopy) and in vivo analysis

Molecular Biology Microbiology Genomics Antibiotic Resistance Gene Regulation Transcription Chemical Biology Medicinal Chemistry

Advanced manufacturing (Daniel Markl), Drug Delivery (Health and Wellbeing – Z Rattray)

Leishmaniasis is a serious health threat. Current there is no clinical vaccine. This project will build on pervious studies to develop a recombinant protein vaccine to protects against leishmaniasis.

Microbiology and Industrial Biotechnology; Streptomyces; Antimicrobial resistance; natural product biosynthesis

Marine microbial chemistry Actinomycetes Marine natural products Specialized metabolism Comparative metabolomics Antibiotic Discovery

Microbiology and Industrial Biotechnology, antibiotic-producing bacteria, genomics, genetics

Drug utilisation research; adherence; clinical effectiveness; Antimicrobial Resistance; antimicrobial stewardship; Health Service Research

Neuroscience, immunology, multiple sclerosis

Materials & Manufacture. High-pressure; co-crystals; polymorphism, diffraction, spectroscopy.

Helminth, parasite, drug therapy Cellular Basis of Disease

Inflammation, microbiome, helminths, mast cells, immunology, cytokines, costimulation Cellular Basis of Disease

Advanced manufacturing (Y Perrie); Drug Delivery (Health and Wellbeing – Y Perrie, Z Rattray); Particle Characterization (Measurement and Enabling Technologies, Z Rattray)

Advanced manufacturing (D Markl), Drug Delivery (Health and Wellbeing – Z Rattray)

Cellular Basis of Disease (Health and Wellbeing- Z and N Rattray), Metabolomics (Health and Wellbeing, Measurement and enabling sciences- N Rattray), Drug Delivery (Health and Wellbeing – Z Rattray)

Cardiovascular and Metabolic Disease Diabetes Cell Biology

Materials & Manufacture. High-pressure; co-crystals; polymorphism, diffraction, spectroscopy

Leishmaniasis is a serious health threat. We have preliminary data to show that light can have anti-leishmanial activity and the aim of this project is to design a medicinal device that can be used to treat cutaneous leishmaniasis.

Leishmaniasis is a serious health threat. Diagnosis can be completed using different techniques but the gold standard is identifying parasites in stained samples from infected individuals. In this project we will look at using machine learning in parasite diagnosis

Neuroscience immunology neurodegenerative diseases

Protein kinase, Leishmania, signal transduction, protein-protein interaction. Cellular Basis of Disease/Cancer and Inflammatory Disease

Protein kinase, Leishmania, signal transduction, protein-protein interaction. Cellular Basis of Disease/Cancer and Inflammatory Disease

Cellular Basis of Disease: Neurodegeneration, Cell Biology, Molecular Genetics

Drug and stem cell delivery using biopolymers

Cardiovascular and Metabolic Disease Cell Biology

Neuroscience & Mental Health MKP-2, synaptic vesicles, neurotransmitter, synaptic transmission

Neuroscience & Mental Health proteinase-activated receptor 2, Alzheimer’s disease, β-amyloid cytokines, major depressive disorder, treatment-resistant depression

Research group: Neuroscience & Mental Health Key words: proteinase-activated receptor 2, inflammation, cytokines, major depressive disorder, treatment-resistant depression.

The project will explore novel strategies to study cardiac cellular metabolism using isolated primary adult cardiac cells and the use of spheroids.

CLXL12, cancer, Nuclear factor kappa B, signalling, molecular. Cellular Basis of disease/Drug discovery

Cardiovascular and Metabolic Disease Cardiovascular physiology and biology, pulmonary hypertension, right ventricular function, right coronary artery perfusion, right ventricular ischemia

Cardiovascular disease Diabetes Obesity Membrane transport Membrane trafficking

Parasitic worm; immunomodulation; inflammation; anti-inflammatory drug development

Neuroscience, Neurophotonics, Ageing

The project aims to improve our ability to identify and exploit crystalline hydrated salt forms that are in a unique solid-state arrangement known as a “water bridge” and be part of a dynamic research team working closely with industry partners and gain experience of experimental and modelling techniques.

cardiotoxicity, cancer drugs, safety pharmacology, cardiac hypertrophy, metabolomics Cardiovascular and Metabolic Diseases Research Group

This cross disciplinary PhD project will explore physical modifications of the protein biopolymer silk that will be 3D printed into higher order structures. These modifications are aimed at maximising the function of silk to ultimately enhance the performance of silk to serve as tissue matrix for stem cells.

Take advantage of recent machine learning frameworks to accelerate the solution of fluid flow problems. Therefore, shortening the design-test-build-refine methodology cycle and allowing for the generation of tailored manufacturing equipment designs.

This PhD project will investigate how the sleep-wake cycle is regulated by brain-wide neural ensembles and how systems memory consolidation is realised across distributed neural circuits.

We're looking for two funded PhD students to be part of a community of scholars and PhD students working on the social study of science, innovation and entrepreneurship.