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Maths & Computing PhD Projects, Programs & Scholarships in St Andrews

We have 18 Maths & Computing PhD Projects, Programs & Scholarships in St Andrews

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Showing 1 to 15 of 18
  Theory and Simulations of Space Weather in the Earth’s Magnetosphere
  Dr AN Wright
Applications accepted all year round

Funding Type

PhD Type

The environment surrounding a planet dominated by its magnetic field (called the magnetosphere) shields the planet from the solar wind.
  Particle Acceleration in Solar Flares
  Prof T Neukirch
Applications accepted all year round

Funding Type

PhD Type

A major open question in the physics of solar flares lies in describing the mechanisms responsible for generating significant populations of non-thermal particles.
  Simulating the Sun: Can We Predict Solar Storms ?
  Prof DH Mackay
Applications accepted all year round

Funding Type

PhD Type

Magnetic fields permeate and structure the atmosphere of the Sun. These magnetic fields can be seen to vary from the smallest to the largest scales presently observable.
  Coronal Heating by MHD Waves
  Prof I De Moortel
Applications accepted all year round

Funding Type

PhD Type

The question why the Sun’s outer atmosphere (corona) is so much hotter than the solar surface (photosphere) remains one of the most challenging open problems in Solar Physics.
  School of Geography and Sustainable Development PhD Studentship Competition 2020

Funding Type

PhD Type

The School of Geography and Sustainable Development (SGSD) is delighted to announce the 2020 PhD Studentship Competition. Two fully funded PhD scholarships are available to join the School's vibrant research community.
  Magnetic flux emergence on the Sun.
  Dr V Archontis
Applications accepted all year round

Funding Type

PhD Type

A key open question in solar physics is how magnetic fields emerge from the solar interior to the surface of the Sun, to form sunspots and active regions.
  Millimetre wave radar signatures of drones
  Dr D A Robertson
Applications accepted all year round

Funding Type

PhD Type

The detection of small unmanned aerial vehicles (UAVs), or drones, is a growing requirement both for the management of intentional drone activity and for the detection of unwanted drones which might cause a risk to security, safety or privacy.
  Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms (STREAM)
  Dr D A Robertson
Applications accepted all year round

Funding Type

PhD Type

This PhD will complement the 3.5 year STREAM project, a £1.5M EPSRC funded collaboration between the University of St Andrews and the University of Birmingham.
  Automated evaluation of geo-political risk.
  Research Group: Division of Statistics
  Dr C Donovan
Applications accepted all year round

Funding Type

PhD Type

There are massive amounts of data presented to the internet in real or near-to-real-time that allow monitoring of economic and societal conditions, amongst other things.
  Modelling encounters in surveys of unmarked animal populations
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Prof D Borchers, Dr R Glennie, Dr M Rowcliffe
Applications accepted all year round

Funding Type

PhD Type

Many wild animal populations are monitored by placing detectors (e.g. cameras or microphones) in a study area and recording encounters with individual animals.
  Design of Experiments
  Research Group: Division of Statistics
  Prof R Bailey
Applications accepted all year round

Funding Type

PhD Type

A topic in design of experiments, to be decided between the student and the supervisor. It could focus on methods for constructing particular types of design; methods of, and problems in, randomization; two-phase experiments; experiments in a particular area of application..
  Modelling local population dynamics for whale sharks in the Maldives
  Research Group: Centre for Research into Ecological and Environmental Modelling
  Dr H Worthington
Applications accepted all year round

Funding Type

PhD Type

Data for this project will be provided by the Maldives Whale Shark Research Programme. The broad aim is to further the understanding of the local population dynamics of this enigmatic species.
  Adapting methods from statistical ecology and applying them to molecular data in cancer
  Research Group: Division of Statistics
  Prof A Lynch, Dr H Worthington
Applications accepted all year round

Funding Type

PhD Type

There are a number of questions that arise from proteomic and RNA studies in cancer that have clear parallels in the world of ecology.
  Bayesian identifiability for log-linear models.
  Research Group: Division of Statistics
  Dr M Papathomas
Applications accepted all year round

Funding Type

PhD Type

Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables such as phenotypes and SNPs.
  Investigating modes of action of genetic risk variants through integrated analysis of multiple high-dimensional “omics” data.
  Research Group: Division of Statistics
  Prof A Lynch, Dr M Papathomas
Applications accepted all year round

Funding Type

PhD Type

Genome-wide association studies have identified thousands of genomic loci that are associated with higher risk of a trait (often a disease such as breast cancer).
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