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Applied Mathematics PhD Projects, Programs & Scholarships in London

We have 44 Applied Mathematics PhD Projects, Programs & Scholarships in London

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Showing 1 to 30 of 44
  Computational Methods for High-Dimensional Problems in Finance using PDE Methods and Deep Learning
  Research Group: Probability and Applications
  Dr K Glau
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2020 for self-funded students.
  The two-body problem in numerical and perturbative general relativity
  Research Group: Geometry and Analysis
  Dr C Markakis
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2020 for self-funded students.
  Network modelling of spatial distributions from large data sets
  Research Group: Complex Systems and Networks
  Dr V Nicosia
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2020 for self-funded students.
  Dismounted Soldier Navigation in GNSS-Denied Environments
  Dr Paul Groves
Application Deadline: 31 August 2020

Funding Type

PhD Type

A fundamental component of a soldier’s situational awareness, and thus their ability to act effectively and as safely as possible, is an accurate, shared appreciation of their, and others, position and (to a lesser extent) their orientation.
  PhD opportunities with the Institute for Digital Technologies at Loughborough University London

Funding Type

PhD Type

The Institute for Digital Technologies offers research expertise and experience in a wide range of subject areas. Our academics are leading research in their field and are extremely well-networked with professionals in a range of industries and sectors.
  Biomechanics and Mechanobiology of Fetal/Embryonic Heart Development (Project 1)
  Dr YC Hwai
Application Deadline: 1 October 2020

Funding Type

PhD Type

The Cardiovascular Biomechanics and Ultrasound Laboratory, led by Dr. Choon Hwai Yap, is moving to Imperial College in July 2020, and is looking for multiple talented and highly-motivated PhD students, to research on embryonic and fetal cardiovascular biomechanics and mechanobiology.
  Biomechanics and Mechanobiology of Fetal/Embryonic Heart Development (Project 2)
  Dr YC Hwai
Application Deadline: 1 October 2020

Funding Type

PhD Type

The Cardiovascular Biomechanics and Ultrasound Laboratory, led by Dr. Choon Hwai Yap, is moving to Imperial College in July 2020, and is looking for multiple talented and highly-motivated PhD students, to research on embryonic and fetal cardiovascular biomechanics and mechanobiology.
  Clustering in bioinformatics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

There are many bioinformatics datasets available publically. Extracting consistent information from these require development of novel techniques and tools.
  Modulation recognition/classification
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

All radio communication signals (radio, television, mobile phones, etc.) are modulated before transmission. Modulation recognition/classification is fundamental for correct demodulation.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Data analytics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data.
  Benchmarking Machine Learning Algorithms
  Dr L Teodorescu
Applications accepted all year round

Funding Type

PhD Type

Machine learning algorithms are employed in a myriad of applications in almost any domain, being it industrial, commercial, scientific or academic.
  Novel approaches for complex nonlinear equation systems
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

In this project we aim to investigate a novel method that works by transforming a system of equations into a multiobjective optimisation problem (MOO).
  Design of Experiments for Network Science
  Dr B Parker
Applications accepted all year round

Funding Type

PhD Type

Design of Experiments (DOE) is a research area within statistics that allows scientists to maximise the amount of information derived from an experiment.
  PhD Studentship in Machine Learning and Computer Vision

Funding Type

PhD Type

Applications are invited for a full PhD Scholarship starting April 2020 (or as soon as possible thereafter) to undertake research in the area of computer vision for robot perception.
  Medical Image Analysis using Deep Learning
  Dr D Makris
Applications accepted all year round

Funding Type

PhD Type

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition.
  Computational modelling and simulation of bio-inspired structures
  Dr P Khazaeinejad
Applications accepted all year round

Funding Type

PhD Type

Bio-inspired structures draw their primary inspiration from the sheer fecundity of nature in the diversity of forms and their constant evolution in order to better adapt to their environment.
  PhD Studentship in Analysis at King's College London

Funding Type

PhD Type

The Analysis group at the Department of Mathematics at King's College London invites applications for at least one PhD studentship to start in October 2020.
  Shape optimisation for aesthetics/functional requirements in the context of additive manufacturing
  Dr P Khazaeinejad
Applications accepted all year round

Funding Type

PhD Type

Despite significant advances in techniques of structural design in the past decades, there are still significant hurdles for achieving a harmonious balance between form and function.
  Improving Throughput in a Wireless Mobile Network using Successive Interference Cancellation with Power Randomization
  Dr M Tunnicliffe
Applications accepted all year round

Funding Type

PhD Type

Successive Interference Cancellation (SIC) allows simultaneous transmissions on a common physical channel to be detected simultaneously by receivers, given that the received power levels are sufficiently different both from each other and from the ambient noise.
  Quality assessment for light-field imaging
  Prof M Martini
Applications accepted all year round

Funding Type

PhD Type

Among the recent media modalities enabling better immersive viewing experiences for the end-users, light field (LF) imaging is emerging.
  Inequality, Health Beliefs, Networks and Inference: Exploring the Links Between Social Co-ordinates and Network Structure
  Prof N Jones
Applications accepted all year round

Funding Type

PhD Type

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics, Statistics, Electrical Engineering (BioMedical knowledge not required).
  Investigating Noise in Ageing Cellular Power Stations
  Prof N Jones
Applications accepted all year round

Funding Type

PhD Type

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering (Biological knowledge not required).
  Interventional Cardiac Magnetic Resonance Imaging
  Dr S Roujol, Dr K Pusparajah
Applications accepted all year round

Funding Type

PhD Type

Research Project. Cardiac catheterisation is a common procedure in patients with congenital heart disease (CHD).
  The contradictory functions of carotenoid-based light-harvesters: Understanding energy harvesting and dissipation in the Fucoxanthin-Chlorophyll Protein (FCP)
  Dr C Duffy
Applications accepted all year round

Funding Type

PhD Type

The School of Biological and Chemical Sciences at Queen Mary is one of the UK’s elite research centres, according to the 2014 Research Excellence Framework (REF).
  Rheological and mechanical behaviour of fibre composite with nanobiocomposites matrix for aerospace applications
  Dr S Vahid
Applications accepted all year round

Funding Type

PhD Type

The applications of nanocomposite materials derived from natural biopolymer components gaining more attraction because of their renewability, biodegradability, flexibility, and their capability of novel functionalities.
  Concerning the properties and stability of resonant interfacial waves arising at the interface of two immiscible fluids under the actions of surface tension and gravity.
  Dr M Jones, Dr G Hunter, Dr M Davis
Applications accepted all year round

Funding Type

PhD Type

The evolution and stability of interfaces which arise between two fluids of finite vertical extent, caused by the interaction of two different harmonics of the fundamental, are very important for a number of applications, for example, stabilizing stratified oil and water in pipe flow, the creation of rogue waves and the understanding of the role of dissipation.
  Machine learning for video quality evaluation
  Prof M Martini, Dr D GC
Applications accepted all year round

Funding Type

PhD Type

With the recent increased usage of video services, the focus has recently shifted from traditional Quality of Service (QoS) based video delivery to Quality of Experience (QoE) based video delivery.
  Two-stream Machine Learning Architecture based on Deep Learning and HMM for Video-based Ambient Assisted Living
  Dr JC Nebel
Applications accepted all year round

Funding Type

PhD Type

Ambient assisted living aims at improving the quality of life and supporting independent and healthy living of older or/and impaired people within their own home environment.
  Simulation and optimisation of a spacecraft propulsion system based on a Field Reversed Configuration plasmoid using deep learning and machine learning algorithms
  Dr P Shaw
Applications accepted all year round

Funding Type

PhD Type

This project aims to investigate an enabling technology for a more significant and complex system based on a High-Energy Density Electromechanical Thruster based on Stabilized Liner Compression of Plasma that could lead to manned exploration of the Solar system [1].
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