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Applied Mathematics (supply) PhD Projects, Programs & Scholarships

We have 17 Applied Mathematics (supply) PhD Projects, Programs & Scholarships

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  Data Analytics For Pore Water Pressure - New Tools For Sustainable Groundwater and Engineering Projects
  Prof W Timms
Applications accepted all year round

Funding Type

PhD Type

This new PhD scholarship will develop advanced pore pressure analysis for groundwater systems with engineering applications in civil construction, mining operations and water supply systems.
  Modelling and understanding battery performance due to changes in the manufacturing processes
  Research Group: Energy Systems
  Dr E Kendrick, Dr D Widanalage
Applications accepted all year round

Funding Type

PhD Type

Start Date. ASAP. This is a challenging and unique PhD opportunity for a student with a good mathematical background interested in applying the knowledge to a rapidly growing area.
  Non-invasive Mapping of Oxygen Extraction Fraction in Patients with Breast Cancer: Development of Novel Multi-Parametric Relaxometry Magnetic Resonance Imaging (MRI) Methods
  Dr J He, Dr Y Masannat, Prof D Lurie
Applications accepted all year round

Funding Type

PhD Type

This project aims to translate, optimise and extend quantitative oxygen extraction fraction mapping based on oxygen enriched air inspiration and magnetic resonance (MR) relaxometric imaging for human application.
  Energy Resilience and the Built Environment (ERBE CDT) fully funded PhDs at Loughborough, UCL (UK) and MaREI (IRL)
Application Deadline: 6 September 2019

Funding Type

PhD Type

The new EPSRC CDT in Energy Resilience and the Built Environment (ERBE) brings together established energy research centres at Loughborough University (LU) and University College London (UCL) together with the MaREI Research Centre (MaREI) (Ireland).
  Complex network analysis and resilience in large-scale multi-layer networks (Application Ref: SF19/EE/CIS/SHANG)
  Dr Y Shang, Prof A Bouridane
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to investigate and develop new data science approaches to model large-scale networks.
  Mathematical analysis of acoustic wave scattering in finite metamaterials.
  Dr A Kisil
Application Deadline: 25 January 2020

Funding Type

PhD Type

The project concerns analytical methods of wave scattering problems in metamaterials with edges. Research work on the project will involve new mathematical analysis of the wave propagation problems and implementation of the developed analytical methods.
  Energy Resilience and the Built Environment (ERBE CDT) fully funded PhDs at Loughborough, UCL (UK) and MaREI (IRL)
Application Deadline: 6 September 2019

Funding Type

PhD Type

The new EPSRC CDT in Energy Resilience and the Built Environment (ERBE) brings together established energy research centres at Loughborough University (LU) and University College London (UCL) together with the MaREI Research Centre (MaREI) (Ireland).
  Precision Medicine DTP - Data Science approaches to investigating the vascular footprint of Alzheimer’s disease for early disease detection
  Dr M Bernabeu, Dr T MacGillivray, Prof C Ritchie, Prof B Dhillon
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Changes in the brain that lead to Alzheimer’s disease (AD) are thought to start decades before cognitive symptoms emerge.
  Machine Learning in Improving Offshore Wind Turbine Operation and Maintenance (O&M)
  Dr X Liu
Applications accepted all year round

Funding Type

PhD Type

Overview. The mix of energy supply worldwide has been changed dramatically in the last few decades. In the UK, in order to tackle climate change and increasing energy consumption, there has been a clear movement from fossils towards renewable and sustainable energy sources.
  Climate change and the evolution of insect mating systems
  Dr SJ Cornell, Dr T Price
Applications accepted all year round

Funding Type

PhD Type

The pervasiveness among animal species of polyandry – i.e., females mating with multiple males – perplexes evolutionary biologists, because it is costly to females (e.g.
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