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We have 137 Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc UK)

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Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc UK)

We have 137 Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc 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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Quantum computing innovation to simulate quantum systems

The emerging technology of quantum computing promises a revolution in numerical simulations of quantum systems for which classical algorithms suffer from computational costs that scale exponentially with the system size. This project will develop and optimize innovative quantum computing techniques to simulate small quantum systems using this rapidly evolving technology. Read more

Optimization of Superconducting Devices by Mean of Quantum Field Theories

Leaning on the zero resistance properties of superconductors materials, superconducting technology has garnered considerable theoretical and practical interest, with applications spanning the areas of quantum computing, ultra-high precision sensing and quantum metrology. Read more

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

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