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We have 24 Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
We have 24 Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
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Designing classroom tasks to improve students’ learning of mathematics
A project in this area will aim to improve our knowledge about effective school mathematics task design. Read more
Designing professional development to improve the teaching of school mathematics
A project in this area will aim to improve our knowledge about effective design of professional development for school teachers of mathematics. Read more
On the prevalence of Spatial-Numerical Associations
Numbers and space are tightly linked in the human mind. For example, the SNARC effect (Spatial-Numerical Association of Response Codes effect) describes the finding that small numbers are usually associated with the left whereas large numbers are associated with the right side of space. Read more
Deep learning for wireless networks
We invite applications for self-funded students to work on developing new deep learning tools for the optimization of space-air-ground integrated wireless networks in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University. Read more
Interpretable and Reliable AI for Condition Monitoring of Industrial Systems
Advanced AI techniques, such as deep neural networks, are very useful for monitoring nonlinear dynamics of complex systems, however, there exists scepticism in industry about automated systems taking decisions, sometimes based on opaque criteria that negates human intuition. Read more
Ontology Digital Twinning for Knowledge Modelling and Fusion in Building Risk Assessment and Insurance
Built on the initial work of ‘Applying AI to building blueprints for insurance risk assessment (AURIE)’, this project aims to develop an ontology digital twinning approach to construct the domain knowledge graphs for improved risk assessment and underwriting capability. Read more
Boolean functions for cryptography
Encrypting data is essential for ensuring the security of our electronic communications. The ciphers in current use are built from smaller components, one of them being a cryptographic Boolean function. Read more
Overlapping iterated function systems
When an iterated function system (IFS) is well separated then much is known about the corresponding invariant set and measures. However, when the IFS is overlapping there is much we still do not know, and many different behaviours are possible. Read more
Computational modelling at the interface between a fluid and a porous medium
Fluids filtering through porous media can be found everywhere in nature and they play a fundamental role in many industrial contexts. Read more
Eigenvalues of functional difference operators associated to mirror curves
Toric Calabi–Yau manifolds play an important role in mathematical physics. Their mirror manifolds can be described by algebraic curves and recently it was observed that quantisation of these curves leads to functional-difference operators. Read more
Continual Learning in Neural Information Retrieval
Neural ranking models for information retrieval (IR) use deep neural networks to rank search results in response to a query. Recently proposed neural models learn representations of language from raw text that can bridge the gap between query and document vocabulary. Read more
Modelling carbon using machine learning
Carbon is a complex material that exists in many forms including graphene, graphite, and diamond. Graphite and other forms of carbon have widespread applications ranging from batteries, composite materials and even within nuclear reactor cores. Read more
Energy Resilience and the Built Environment (ERBE CDT) Loughborough and UCL (UK) and MaREI (IRL)
The ERBE Centre for Doctoral Training provides four-year (FT) PhD training at either Loughborough or UCL. Flexibility and resilience. Read more
Advanced CFD methods for porous media flows
Applications are invited to work on the development of advanced modelling techniques, based on existing novel high resolution, massively parallel schemes applicable to porous-media Simulations can include flows in porous media with the direct pore simulations as well as Darcy flows. Read more
Artificial intelligence in additive manufacturing: use of deep-learning in dimensional accuracy of stereolithography 3D printing
This project offers a chance to work on a truly disruptive and innovative research project in high-tech and high-value manufacturing, with a very high potential impact in aerospace and energy sectors. Read more
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