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We have 127 Computational Physics PhD Projects, Programmes & Scholarships for UK Students in the UK

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Computational Physics PhD Projects, Programmes & Scholarships for UK Students in the UK

We have 127 Computational Physics PhD Projects, Programmes & Scholarships for UK Students in the UK

A PhD in Computational Physics involves the development of mathematical models and computer programmes that can compute the behaviour of physical systems.

What's it like to study a PhD in Computational Physics?

A PhD in Computational Physics requires the development of new mathematical models and computer programmes. This can involve working on problems in areas like:

  • quantum many-body theory
  • computational fluid dynamics
  • biophysical simulation
  • neutron transport
  • beam simulation

You'll be encouraged to work independently on your research topic, which will usually be part of a larger project being led by a member of staff or a research group.

In a typical Computational Physics PhD, you'll work under the guidance of an expert supervisor to whom you'll submit a thesis at the end of your study. You may also be asked to give occasional presentations about your research at departmental level.

Some Computational Physics PhDs will require laboratory-based research, but many are entirely computational.

Typical entry requirements for a PhD in Computational Physics are a 2:1 in Physics, Mathematics or a related subject, although a Masters may occasionally be required.

PhD in Computational Physics funding options

Most PhDs in Computational Physics are funded by the Science and Technology Facilities Council (STFC), meaning that you'll receive a tax-free salary along with training during your PhD.

Some universities may also offer their own funding options. If you are considering a PhD that is fully self-funded, it is advisable to confirm that the programme meets UK academic standards before you apply.

PhD in Computational Physics careers

There is a huge demand for experts in Computational Physics, with careers available in academia, finance and technology. Many Computational Physics PhD graduates also choose to become teachers.

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Computational aerodynamics of high speed flow over rough surfaces

Supervisory Team.   Neil Sandham. Project description. You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Read more

Transition to turbulence in hypersonic flow applications

Supervisory Team.   Neil Sandham. Project description. You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Read more

FFLUX: Time for a Step Change in Force Field Design

By its novel architecture the in-house force field FFLUX aims to make a step change in the reliability of modelling of peptides/proteins in aqueous solution [1]. Read more

Designing tests for the identification of Quantum Spin Liquids

Quantum spin liquids (QSLs) are highly entangled low temperature states of magnetic systems. They are of fundamental importance as quantum states of matter firmly outside of conventional paradigms, having excitations with fractional quantum numbers and being described by emergent gauge theories. Read more

Using Robotics to Remove the Harmful Effects of Toxic Metals in Industrially Relevant Metal-Catalysed Processes

Organometallic catalysis is one of the most vibrant and essential areas worldwide in scientific research, with impact in a broad range of industrially relevant fields such as pharmaceuticals, agrochemicals and materials. Read more

Optimisation of radiation health monitoring through machine learning and data fusion

This PhD will combine AI (artificial intelligence) and experimental methods to provide an informed assessment of delayed material dosimetry within the radiation health monitoring landscape. Read more

Neuromorphic devices based on oxidation-conversion of van-der-Waals semiconductors

Why this research is important. Taking inspiration from the human brain, neuromorphic systems uses physics of materials and devices to process unstructured and noisy analogue data, leading to a fundamentally new approach to computing. Read more

PhD in Mechanical Engineering - Simulation-augmented mechanical characterisation of cells

The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3.5-year PhD project entitled "Simulation-augmented mechanical characterisation of cells". Read more

Emergent helical dipole textures in quadruple perovskites

Ordering of magnetic dipoles in materials gives rise to many kinds of magnetic structures, from simple ferromagnetism to complex helices, that have found important applications with profound impacts in society. Read more

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