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We have 57 Mathematics PhD Projects, Programmes & Scholarships in London

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Mathematics

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London  United Kingdom

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Mathematics PhD Projects, Programmes & Scholarships in London

We have 57 Mathematics PhD Projects, Programmes & Scholarships in London

PhD Projects in Mathematics

The Department of Mathematics at King’s College London invites applications for PhD students to start in October 2024. There are a number of fully funded studentships available for excellent candidates. Read more

EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation

Imperial College London, the University of Reading and the University of Southampton are thrilled to invite passionate and dedicated individuals to apply for our exciting new EPSRC CDT in the Mathematics for our Future Climate starting in October 2024. Read more

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). Read more

Regularity theory and singularity analysis of geometric PDEs via phase field approximations

  Research Group: Geometry, Analysis & Gravitation
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Thermodynamic signatures of collective behaviour in active matter

  Research Group: Complex Systems
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

EPSRC Doctoral Training Partnership (DTP) scholarship - Can MIND networks derived from brain MRI shed fresh light on perinatal development?

Brain connectivity is central to neurodevelopment and later cognition and mental health (Morgan et al., BP:CNNI 2018). We recently proposed a new method to construct structural brain networks from MRI data, called Morphometric Inverse Divergence (MIND). Read more

Machine learning the dynamics of force-sensing proteins

Mechanosensing proteins detect mechanical forces within cells and convert them into biochemical signals. Understanding the dynamic behaviour of these proteins under force is key for advancing our understanding of this process called mechanotransduction. Read more

Research Studentship in machine learning for registration, mosaicking and resolution enhancement for imaging data from artworks

AHRC Collaborative Doctoral Partnership. Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Electrical and Electronic Engineering Department) and the National Gallery (Scientific Department). Read more

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

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