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We have 11 Computational Physics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Southampton
Computational Physics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Southampton
We have 11 Computational Physics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Southampton
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.
Machine Learning models for subgrid scales in turbulent reacting flows
Wavelet adaptive multiresolution representation for turbulent reacting flows
Memristive Artificial Synapses for Neuromorphic Computing
Wavelength-flexible, single-frequency fibre lasers
High-performance computer simulation of laser-driven coherent X-ray generation for imaging applications
Vacuum hollow-core optical fibres
A dynamical systems theory approach to optimisation in fluid mechanics
Machine learning in hydraulics and fluid mechanics
Large-scale structure of Earth’s magnetosphere
Unveiling the origin of quenching in galaxies via cutting-edge cosmological data-driven models
Silicon Synapses for Artificial Intelligence Hardware
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