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Applied Mathematics PhD Projects, Programs & Scholarships in the UK

We have 298 Applied Mathematics PhD Projects, Programs & Scholarships in the UK

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  Antimatter Chemistry: reactive scattering collisions of antihydrogen atoms with hydrogen molecules
  Dr M Law, Dr W T A Harrison
Applications accepted all year round

Funding Type

PhD Type

Recently interest in antimatter research has increased as facilities such as CERN have succeeded in trapping antimatter atoms to study their properties [1].
  Applications of topology to soft matter physics
  Dr M Grant, Dr R Hepworth
Applications accepted all year round

Funding Type

PhD Type

This project will address mathematical problems in the research field of algebraic topology, inspired by the theory of topological defects in soft materials.
  Applied Algebraic Topology in Geometry
  Dr R Hepworth, Dr M Grant
Applications accepted all year round

Funding Type

PhD Type

In recent years the techniques of algebraic topology have been applied to data analysis with great success, and the resulting subject areas of Applied Algebraic Topology and Topological Data Analysis have seen rapid growth.
  Topological methods for image recognition
  Prof B Martin, Prof R Levi
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop mathematical algorithms for manipulating and classifying medical images.
  Boundary Effects in Active Matter Systems
  Dr F Ginelli
Applications accepted all year round

Funding Type

PhD Type

he study of collective properties of active matter is a fast-emerging interdisciplinary research field.
  Chaos and fractals in fluid motion
  Dr A Moura, Prof C Grebogi
Applications accepted all year round

Funding Type

PhD Type

The advection of particles and fields by fluid flows is a problem of great interest for both fundamental physics and engineering applications.
  Enhancing predictability in chaotic systems
  Dr F Ginelli, Prof A Politi
Applications accepted all year round

Funding Type

PhD Type

The goal of this research program – which involves theoretical analysis and numerical simulations -- is to apply fundamental results and recent developments (to which the supervisors significantly contributed) of dynamical system theory to enhance our ability to predict the future evolution of complex and chaotic dynamical systems -- such as weather and climate systems.
  Fast, reliable and secure wireless IoT chaos-based communication
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
  How to make molecular machines: modelling ribosome biogenesis
  Prof C Romano, Prof I Stansfield
Applications accepted all year round

Funding Type

PhD Type

Ribosomes are arguably the most important biological molecular machines. Cells can be seen as factories of proteins, with ribosomes being the machines producing them.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Machine learning approaches to advance clinical decision making
  Prof B Schelter, Prof M Thiel
Applications accepted all year round

Funding Type

PhD Type

In this project we will use machine learning to process patient health records in order to support medical decision making. Multifaceted data will be combined and analysed to advance the standard of care.
  Modelling the deformation of cells
  Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

Cells are the elementary building blocks of living organisms. The correct functioning of living organisms is therefore conditioned to the ability of living cells to withstand forces and deformations and to promptly adapt to their mechanical environment.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Noisy translation: modelling of stochastic effects on protein production
  Prof C Romano, Prof I Stansfield
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the mathematical modelling of a fundamental process in the cell. translation of the messenger RNA into a protein.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Statistical Data Analysis of medical health records
  Prof B Schelter, Prof M Thiel
Applications accepted all year round

Funding Type

PhD Type

In this project we will use advanced statistical and mathematical modelling techniques to analyse patient health records in order to support medical decision making.
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  Advanced design of fibre reinforced composites - using multiscale reliability analysis and optimisation
  Dr P Dunning, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

This project aims to advance the design of components made from fibre reinforced composite materials, by combining techniques in multiscale analysis, structural reliability and design optimisation.
  Automated Big data analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the task of automating data analysis tasks, particularly for numerical data but the techniques developed could be applied to other domains such as textual data analysis.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Bio-inspired joints for metal-composite structures
  Prof M Kashtalyan, Prof I Guz
Applications accepted all year round

Funding Type

PhD Type

Combining dissimilar materials such metals and fibre-reinforced composites in structural components has potential to reduce weight and improve structural performance in many applications.
  Continuous separation of conglomerate forming enantiomers using crystallization process
  Dr A Majumder, Dr D Dionisi
Applications accepted all year round

Funding Type

PhD Type

Enantiomers are the results of chirality or handedness of molecules which are the non-superimposable mirror images of each other.
  Control of drill-string vibrations
  Dr S S Aphale, Dr A ALIAKBAR JAMSHIDI FAR
Applications accepted all year round

Funding Type

PhD Type

Drill-strings possess a rich nonlinear dynamic behaviour. Torsional vibrations are a main cause of concern and current area of research interest in the wider academic as well as industrial research community.
  Durability analysis in hydrogen fuel cell vehicles
  Dr M Aleyaasin, Dr A ALIAKBAR JAMSHIDI FAR
Applications accepted all year round

Funding Type

PhD Type

In this project , the heavy duty hybrid electric vehicles is considered for the investigation. The propulsion in these trucks is based on parallel operation of a bank of lithium batteries and series of hydrogen fuel cells.
  Enhanced Oil Recovery (EOR) from depleted Sandstone and Carbonate/chalk reservoirs
  Dr P Jadhawar, Dr H Hamidi
Applications accepted all year round

Funding Type

PhD Type

Nearly one third of the oil is left behind in the reservoir after the primary and secondary recovery methods of oil recovery.
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure.
  Exploitation and production from Methane Hydrate reservoirs (Arctic and Subsea porous media)
  Dr P Jadhawar, Dr J Derksen
Applications accepted all year round

Funding Type

PhD Type

Naturally occurring gas (mostly methane) hydrates along the continental margins (coastal offshore) and permafrost sediments are the clean source of energy outnumbering the rest forms of conventional energy sources.
  Fractional-order control for precision mechatronic systems
  Dr S S Aphale, Dr A ALIAKBAR JAMSHIDI FAR
Applications accepted all year round

Funding Type

PhD Type

Integer-order control schemes aimed at high-precision positioning performance of mechatronic systems have been extensively researched thus far.
  LNG sloshing and Leidenfrost droplet dynamics – modelling gas-cushioned liquid-solid impacts with phase change
  Dr P D Hicks, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The impact of liquefied natural gas (LNG) with the walls of its containing tank and the impact of droplets with very hot surfaces are two examples of liquid-solid impacts in which the liquid may be close to thermodynamic equilibrium with the surrounding gas/vapour.
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